Category Archives: Lit Review

Phil 5.31.16

7:00 – 4:30 VTX

  • Writing. Working on describing how maintaining many codes in a network contains more (and more subtle) information than grouping similar codes.
  • Working on the UrlChecker
    • In the process, I discovered that the annotation.xml file is unique only for the account and not for the CSE. All CSEs for one account are contained in one annotation file
    • Created a new annotation called ALL_annotations.xml
    • fixed a few things in Andy’s file
    • Reading in everything. Now to produce the new sets of lists.
    • I think it’s just easier to delete all the lists and start over.
    • Done and verified. You run UrlChecker from the command line, with the input file being a list of domains (one per line) and the ALL_annotations.xml file.
  • https://cwiki.apache.org/confluence/display/CTAKES/cTAKES+3.2
  • Need to add a Delete or Hide button to reduce down a large corpus to a more effective size.
  • Added. Tomorrow I’ll wire up the deletion of a row or cilumn and the recreation of the initialMatrix

Phil 5.30.16

7:00 – 10:00 Thesis/VTX

  • Built a new matrix for the coded lit review. I had coded a couple of more papers
  • Working on copying over the read papers into a new folder that I can run text analytics over
  • After carefully reading through the doc manager list and copying over each paper, I just discovered I could have exported selected.
  • Ooops: Exception in thread “JavaFX Application Thread” java.lang.IllegalArgumentException: Invalid column index (16384).  Allowable column range for EXCEL2007 is (0..16383) or (‘A’..’XFD’)
    • Going to add a limit of 
      SpreadsheetVersion.EXCEL2007.getMaxColumns()-8

      columns for now. Clearly that can be cut down.

    • Figuring out where to cut the terms. I’m summing the columns of the LSI calculation, starting at the highest value and then dividing that by the sum of all values. The top 20% of rank weights gives 280 columns. Going to try that first
    • Success! Some initial thoughts
      • The coded version is much more ‘crisp’
      • There are interesting hints in the LSI version
      • Clicking on a term or paper to see the associated items is really nice.
      • I think that document subgroups might be good/better, and it might be possible to use the tool to help build those subgroups. This goes back to the ‘hiding’ concept. (hide item / hide item and associated)

Phil 5.17.16

7:00 -7:00

  • Great discussion with Greg yesterday. Very encouraging.
  • Some thoughts that came up during Fahad’s (Successful!) defense
    • It should be possible to determine the ‘deletable’ codes at the bottom of the ranking by setting the allowable difference between the initial ranking and the trimmed rank.
    • The ‘filter’ box should also be set by clicking on one of the items in the list of associations for the selected items. This way, selection is a two-step process in this context.
    • Suggesting grouping of terms based on connectivity? Maybe second degree? Allows for domain independence?
    • Using a 3D display to show the shared second, third and nth degree as different layer
    • NLP tagged words for TF-IDF to produce a more characterized matrix?
    • 50 samples per iteration, 2,000 iterations? Check! And add info to spreadsheet! Done, and it’s 1,000 iterations
  • Writing
  • Parsing Jeremy’s JSON file
    • Moving the OptionalContent and JsonLoadable over to JavaJtils2
    • Adding javax.persistence-2.1.0
    • Adding json-simple-1.1.1
    • It worked, but it’s junk. It looks like these are un-curated pages
  • Long discussion with Aaron about calculating flag rollups.

Phil 5.6.16

7:00 – 4:00 VTX

  • Today’s shower thought is to compare the variance of the difference of two (unitized) rank matrices. The maximum difference would be (matrix size), so we do have a scale. If we assume a binomial distribution (there are many ways to be slightly different, only two ways to be completely different), then we can use a binomial (one tailed?) distribution centered on zero and ending at (matrix size). That should mean that I can see how far one item is from the other? But it will be withing the context of a larger distribution (all zeros vs all ones)…
  • Before going down that rabbit hole, I decided to use the bootstrap method just to see if the concept works. It looks mostly good.
    • Verified that scaling a low-ranked item (ACLED) by 10 has less impact than scaling the highest ranking item (P61) by 1.28.
    • Set the stats text to red if it’s outside 1 SD and green if it’s within.
    • I think the terms can be played around with more because the top one (Pertinence) gets ranked at .436, while P61 has a rank of 1.
    • There are some weird issues with the way the matrix recalculates. Some states are statistically similar to others. I think I can do something with the thoughts above, but later.
  • There seems to be a bug calculating the current mean when compared to the unit mean. It may be that the values are so small? It’s occasional….
  • Got the ‘top’ button working.
  • And that’s it for the week…

LMT With Data2

Oh yeah – Everything You Ever Wanted To Know About Motorcycle Safety Gear

Phil 5.3.16

7:00 – 3:30 VTX

  • Out riding, I realized that I could have a column called ‘counts’ that would add up the total number of ‘terms per document’ and ‘documents per terms ‘. Unitizing the values would then show the number of unique terms per document. That’s useful, I think.
  • Helena pointed to an interesting CHI 2016 site. This is sort of the other side of extracting pertinence from relevant data. I wonder where they got their data from?
    • Found it!. It’s in a public set of Google docs, in XML and JSON formats. I found it by looking at the GitHub home page. In the example code  there was this structure: 
      source: {
    gdocId: '0Ai6LdDWgaqgNdG1WX29BanYzRHU4VHpDUTNPX3JLaUE',
    tables: "Presidents"
  }

      That gave me a hint of what to look for in the document source of the demo, where I found this:

      var urlBase = 'https://ca480fa8cd553f048c65766cc0d0f07f93f6fe2f.googledrive.com/host/0By6LdDWgaqgNfmpDajZMdHMtU3FWTEkzZW9LTndWdFg0Qk9MNzd0ZW9mcjA4aUJlV0p1Zk0/CHI2016/';

      And that’s the link from above.

    • There appear to be other useful data sets as well. For example, there is an extensive CHI paper database sitting behind this demo.
    • So this makes generalizing the PageRank approach much more simple since it looks like I can pull the data down pretty simply. In my case I think the best thing would be to write small apps that pull down the data and build Excel spreadsheets that are read in by the tool for now.
  • Exporting a new data set from Atlas. Done and committed. I need to do runs before meeting with Wayne.
  • Added Counts in and refactored a bit.
  • I think I want a list of what a doc or term is directly linked to and the number of references. Addid the basics. Wiring up next. Done! But now I want to click on an item in the counts list and have it be selected? Or at least highlighted?
  • Stored the new version on dropbox: https://www.dropbox.com/s/92err4z2posuaa1/LMN.zip?dl=0
  • Meeting with Wayne
    • There’s some bug with counts. Add it to the WeightedItem.toString() and test.
    • Add a ‘move to top’ button near the weight slider that adds just enough weight to move the item to the top of the list. This could be iterative?
    • Add code that compares the population of ranks with the population of scaled ranks. Maybe bootstrapping? Apache Commons Math has KolmogorovSmirnovTest, which has public double kolmogorovSmirnovTest(double[] x, double[] y, boolean strict), which looks promising.
  • Added ability to log out of the rating app.

Phil 5.2.16

7:00 – 3:00 VTX

  • How to get funding using Web of Science
  • http://www.grants.gov/web/grants/search-grants.html
  • http://www.research.gov/
  • Finished  Supporting Reflective Public Thought with ConsiderIt
    • Watched the ConsiderIt demo. I love the histogram that shows how the issue polarization is characterized.
  • Back to  Informed Citizenship in a Media-Centric Way of Life
    • Page 225 – Conclusions: As prescriptive as it may sound, it is time to suspend the normative traditions that envelop journalism and democracy, take stock of how knowledge is explicated and operationalized, and calibrate research practice to accommodate an explication of informed citizenship and democratic participation itted to contemporary life. Doing so strays from the dominant research paradigm, grounded in convictions about the supremacy of rational thought, verbal information, news as cold hard facts, and electoral activities as the gold standard of participatory practices. We advanced arguments for a departure from tradition and elaborated on how the very notions of informed citizenship and political participation are mutating in (and because of) the current media environment.
    • And this is kind of scary: Freedom is on the longest global downward trajectory in 40 years (Freedom House, 2011), democratic failure is at the highest rate since the mid-1980s (Diamond, 1999), and there are indicators of qualitative erosion in democratic practice worldwide (Bertelsmann Foundation, 2012). he people’s view on democratic life appears tepid, in several parts of the world, there are reports of a so-called authoritarial nostalgia among citizens who live in Asian countries that are transforming to democratic systems of governance (Chang, Chu, & Park, 2007) while a mere half (or fewer) of Russians, Poles, Ukrainians, and Indonesians expressed strong support for democratic rule (World Public Opinion.org, 2015).
      • Make America Great Again.
    • Done. Reading this makes me feel more like a connectivist/AI revolution is coming that will either tend towards isolating us more or finding ways to bring us together. The thing is that we’re wired to do both. So this really is a design problem.
  • ————————————
  • Well drat, was going to do some light work on developing the ranking app, but it looks like I forgot to check in the latest version of Java Utils
  • Installed Launch4j
  • TODO:
    • Add a ‘session name’ text field – done
    • Add a ‘interactive’ checkbox. If it’s selected, then change in the weight slider will fire calculate(). Done
    • Fixed the ‘Reset Weights’
    • Got the ‘Use Unit Weights’ option. I just replace all the non-zero values in the derived symmetric matrix to 1.0. I have a suspicion that this will come back to bite me, but for now I can’t think of a reason. The only thing that I really don’t like is that there is no obvious change in the data. The ‘Weights’ column actually means ‘scalar’. This issue is that the whole matrix would have to be shown, since the weight exists at the intersection of two items. So a row or column is sort of a sum of weights.
    • Start TF-IDF app. It should do the following:
      • Take a list of URIs (local or remote, pdf, html, text). These are the documents
      • Read each of the documents into a data structure that has
        • Document title
        • Keywords (if called out)
        • Word list (lemmatized)
          • Word
          • Document count
          • Parts Of Speech(?)
      • Run TF-IDF to produce an ordered list of terms
      • Build a co-occurrence matrix of terms and documents
      • Output matrix to Excel.
  • The end of a good day:

LMT With Data

Phil 5.1.16

  • I have Supporting Reflective Public Thought with ConsiderIt for homework, but it’s worth adding to the Lit review
    • ConsiderIt is still around. It’s looking pretty nice, actually. Not much in the way of backlinks though (https___consider).
    • I like the inclusion of Nudge Theory. It’s an important point that design that affects masses of people has to take this basic consideration to heart. I contend that nudging is happening now, towards fragmentation and Group Polarization. The forces that drive advertising (and through association, content) to ever more targeted audiences means that each of these audiences can be nudged in different directions without knowing that they are even part of the group that is polarizing.

Phil 4.29.16

7:00 – 5:00 VTX

  • Expense reports and timesheets! Done.
  • Continuing Informed Citizenship in a Media-Centric Way of Life
    • The pertinence interface may be an example of a UI affording the concept of monitorial citizenship.
      • Page 219: The monitorial citizen, in Schudson’s (1998) view, does environmental surveillance rather than gathering in-depth information. By implication, citizens have social awareness that spans vast territory without having in-depth understanding of specific topics. Related to the idea of monitorial instead of informed citizenship, Pew Center (2008) data identified an emerging group of young (18–34) mobile media users called news grazers. These grazers ind what they need by switching across media platforms rather than waiting for content to be served.
    • Page 222: Risk as Feelings. The abstract is below. There is an emotional hacking aspect here that traditional journalism has used (heuristically?) for most(?) of its history.
      • Virtually all current theories of choice under risk or uncertainty are cognitive and consequentialist. They assume that people assess the desirability and likelihood of possible outcomes of choice alternatives and integrate this information through some type of expectation-based calculus to arrive at a decision. The authors propose an alternative theoretical perspective, the risk-as-feelings hypothesis, that highlights the role of affect experienced at the moment of decision making. Drawing on research from clinical, physiological, and other subfields of psychology, they show that emotional reactions to risky situations often diverge from cognitive assessments of those risks. When such divergence occurs, emotional reactions often drive behavior. The risk-as-feelings hypothesis is shown to explain a wide range of phenomena that have resisted interpretation in cognitive–consequentialist terms.
    • At page 223 – Elections as the canon of participation

  • Working on getting tables to sort – Done

  • Loading excel file -done
  • Calculating – done
  • Using weights -done
  • Reset weights – done
  • Saving (don’t forget to add sheet with variables!) – done
  • Wrapped in executable – done
  • Uploading to dropbox. Wow – the files with JavaFX are *much* bigger than Swing.

Phil 4.28.16

7:00 – 5:00 VTX

  • Reading Informed Citizenship in a Media-Centric Way of Life
    • Jessica Gall Myrick
    • This is a bit out of the concentration of the thesis, but it addresses several themes that relate to system and social trust. And I’m thinking that behind these themes of social vs. system is the Designer’s Social Trust of the user. Think of it this way: If the designer has a high Social Trust intention with respect to the benevolence of the users, then a more ‘human’ interactive site may result with more opportunities for the user to see more deeply into the system and contribute more meaningfully. There is risks in this, such as hellish comment sections, but also rewards (see the YouTube comments section for The Idea Channel episodes). If the designer has a System Trust intention with respect to say, the reliability of the user watching ads, then different systems get designed that learns to generate click-bait using neural networks such as clickotron). Or, closer to home, Instagram might decide to curate a feed for you without affordances to support changing of feed options. The truism goes ‘If you’re not paying, then you’re the product’. And products aren’t people. Products are systems.
    • Page 218: Graber (2001) argues that researchers oten treat the information value of images as a subsidiary to verbal information, rather than having value themselves. Slowly, studies employing visual measures and examining how images facilitate knowledge gain are emerging (Grabe, Bas, & van Driel, 2015; Graber, 2001; Prior, 2014). In a burgeoning media age with citizens who overwhelmingly favor (audio)visually distributed information, research momentum on the role of visual modalities in shaping informed citizenship is needed. Paired with it, reconsideration of the written word as the preeminent conduit of information and rational thought are necessary.
      • The rise of infographics  makes me believe that it’s not image and video per se, but clear information with low cognitive load.
  • ————————–
  • Bob had a little trouble with inappropriate and unclear identity, as well as education, info and other
  • Got tables working for terms and docs.
  • Got callbacks working from table clicks
  • Couldn’t get the table to display. Had to use this ugly hack.
  • Realized that I need name, weight and eigenval. Sorting is by eigenval. Weight is the multiplier of the weights in a row or column associated with a term or document. Mostly done.

Phil 4.27.16

7:00 – 5:30 VTX

  • Finished A fistful of bitcoins: characterizing payments among men with no names
    • In reading the discussion about ‘peeling’, I wonder if in a similar way, if someone returns to a story repeatedly, would an adversary be able to find out anything useful?Or, if Bitcoin were used to pay for stories, would tracking transactions do anything as well? One of the nice things about using aliases for BC addresses is that other than the initial mapping, the address can be hidden in the system.
    • Page 93: ...even the most motivated Bitcoin users (i.e., criminals) are engaging in idioms of use that allow us to erode their anonymity.
      • This is an important point. As with biometrics at the small scale, we are identifiable through our behaviors. In this case, idioms or patterns of usage.
  • Rating app
    • Add people – done
    • Add John’s suggestions – done
    • Build and deploy – Done. Waiting on Andy.
  • Write up TF_IDF story
    • Basic capability – 11 points
      • The initial part of the effort is to scan over the collection of documents and produce a list of words ordered by TF-IDF. This means iterating over all the documents and producing a Set<String> of words that are then run over the the set of documents. The output should be an excel file that lists the documents in the corpus, and the list of words.
        • Documents should be listed in a file (xml?) as URIs. HTML docs can be read by jsoup, PDF by PDFBox.
        • The TF-IDF algorithm is discussed here: https://guendouz.wordpress.com/2015/02/17/implementation-of-tf-idf-in-java/
    • Pull pages from approved flags – 3 points
      • The second part of the effort is to use Jeremy’s REST interface to extract the URLs of ‘cleared’ flags to use as the input to the app, via the input file (or call from within the app, though there may be certs issues)
    • Report with new term recommendations – 3 points
      • Using the rating app, we should be able to try using these new terms and see if they improve results. One of the items that will need to be returned from the DB (that’s already stored in the QueryObject2) so we can see if we’re getting cleaner results.
  • LanguageModelNetworks
    • Read in a spreadsheet (xls and xlsx)
    • Write out spreadsheets (page containing the data information
      • File
      • User
      • Date run
      • Settings used
    • allow for manipulation of row and column values (in this case, papers and codes, but the possibilities are endless)
      • Select the value to manipulate (reset should be an option)
      • Spinner/entry field to set changes (original value in label)
      • ‘Calculate’ button
      • Sorted list(s) of rows and columns. (indicate +/- change in rank)
    • Reset all button
    • Normalize all button
    • Progress for today! Lots of wiring up to do though: LMT

Phil 4.26.16

7:00 – 4:00 VTX

  • Reading through (and coding) A Fistfull of Bitcoins. In the ‘duh’ department, I realize that it should be possible to pay anonymous sources using BC since they both rely on the same mechanism. So when you submit a story, you can also use a bitcoin address. It would help in tracking users, that’s for sure. If you want to associate a bitcoin address at a later time, then a more detailed biometric analysis would have to take place. Maybe a game. Also, users should be able to create a BC address alias. These would have to be unique across the system(? Is this really true?), but that’s kind of like user name, so there are issues….
  • Worked on JavaFX layout issues need to figure out how to get the grid to scale? Or maybe use anchor points. More tomorrow.
  • Sprint retrospective
  • Presented the tool. Need to add users.

Phil 4.22.16

7:00 – 4:30 VTX

  • Had a thought going to sleep last night that it would be interesting to see the difference between a ‘naive’ ranking based on the number of quotes vs. PageRank. Pretty much as soon as I got up, I pulled down the spreadsheet and got the lists. It’s in the previous post, but I’ll pot them here too:
    • Sorted from most to least quotes
      P61: A Survey on Assessment and Ranking Methodologies for User-Generated Content on the Web.pdf
      P13: The Egyptian Blogosphere.pdf
      P10: Sensing_And_Shaping_Emerging_Conflicts.pdf
      P85: Technology Humanness and Trust-Rethinking Trust in Technology.pdf
      P 5: Saracevic_relevance_75.pdf
      P 1: Social Media and Trust during the Gezi Protests in Turkey.pdf
      P77: The Law of Group Polarization.pdf
      P43: On the Accuracy of Media-based Conflict Event Data.pdf
      System Trust
      P37: Security-control methods for statistical databases – a comparative study.pdf
    • Sorted on Page Rank eigenvector
      P85: Technology Humanness and Trust-Rethinking Trust in Technology.pdf
      System Trust
      Social Trust
      P61: A Survey on Assessment and Ranking Methodologies for User-Generated Content on the Web.pdf
      P84: What is Trust_ A Conceptual Analysis–AMCIS-2000.pdf
      P 1: Social Media and Trust during the Gezi Protests in Turkey.pdf
      Credibility Cues
      P13: The Egyptian Blogosphere.pdf
      P10: Sensing_And_Shaping_Emerging_Conflicts.pdf
      P82: The ‘like me’ framework for recognizing and becoming an intentional agent.pdf
  • To me it’s really interesting how much better the codes are mixed in to the results. I actually thought it could be the other way, since the codes are common across many papers. Also, the concepts of System Trust, Social Trust and Credibility  Cues very much became a central point in my mind as I worked through the papers.
  • A second thought, which is the next step in the research, is to see ho weighting affects relationships. Right now, the the papers and codes are weighted by the number of quotes. What happens when all the weights are normalized (set to 1.0)?. And then there is the setup of the interactivity. With zero optimizations, this took 4.2 seconds to calculate on a modern laptop. Not sliderbar rates, but change a (some?) values and click a ‘run’ button.
  • So, moving forward, the next steps are to create the Swing App that will:
    • read in a spreadsheet (xls and xlsx)
    • Write out spreadsheets (page containing the data information
      • File
      • User
      • Date run
      • Settings used
    • allow for manipulation of row and column values (in this case, papers and codes, but the possibilities are endless)
      • Select the value to manipulate (reset should be an option)
      • Spinner/entry field to set changes (original value in label)
      • ‘Calculate’ button
      • Sorted list(s) of rows and columns. (indicate +/- change in rank)
    • Reset all button
    • Normalize all button
  • I’d like to do something with the connectivity graph. Not sure what yet.
  • And I think I’ll do this in JavaFX rather than Swing this time.
  • Huh. JavaFX Scene Builder is no longer supported by Oracle. Now it’s a Gluon project.
  • Documentation still seems to be at Oracle though
  • Spent most of the day seeing what’s going on with the Crawl. Turns out it was bad formatting on the terms?

Phil 4.15.16

7:00 – 4:30 VTX

  • Good meeting with Wayne yesterday evening
  • Tensorflow playground
  • Continuing The ‘like me’ framework for recognizing and becoming an intentional agent
    • Page 4: Based on the ‘like me’ framework, I hypothesized that it would be possible to demonstrate such tool-use learning at younger ages by transforming the situation. Instead of having the infant sit across the table from the adult, I had them sit side-by-side. In that way the adult’s actions could more easily serve as a blueprint for the child’s own action plans. Recent brain imaging studies with adults show the facilitative effects of seeing a to-be-imitated action from one’s own point of view (Jackson, Meltzoff, & Decety, 2006).
    • Page 5:This study was the first to show infants how to use complex tools ‘from their own perspective.’ Sitting shoulder-to-shoulder with the child closes the gap between the perceived and executed actions. The model becomes more ‘like me.’ 
      • Eyewitness value, photos and images all come from a ‘like me’ framework. As much as possible, we are looking out of the eyes of the witness. This high level of credibility traces all the way back to infancy. Wow. On a related note, this has implications for news reporting using VR.
    • Page 6: Evidently, young toddlers can understand our goals even if we fail to fulfill them. In another study (Meltzoff, 1995; Experiment 2), it was shown that infants did not reenact the target act if  they saw a mechanical device rather than a person performing the ‘slipping’ movements. The device did not look human and had poles as arms and pincers instead of fingers, but it traced the same spatiotemporal pattern as did the person’s yanking. Infants did not pull apart the dumbbell at any higher than baseline levels in this case. They did, however, correctly perform the target act in another condition in which the mechanical device succeeded in pulling apart the dumbbell. This makes sense, because in the case of success the object transformation is visible (it is pulled apart), but in the case of the unsuccessful attempt, there is no object transformation, only a ‘slipping’ motion that has to be interpreted at a different level.
      • Does this mean that we have a ‘wired-in’ model of the intention of others?
    • Page 7: Persistence and emotions as markers of infants’ intention—In further work, I showed 18-month-olds (N = 33) the standard unsuccessful-attempt display, but handed them a trick toy. The toy had been surreptitiously glued shut before the study began. When infants picked it up and attempted to pull it apart, their hands slipped off the ends. This, of course, matched the surface behavior of the adult. The question was whether this imitation of the adults’ behavior satisfied the infants. It did not. When infants matched the surface behavior of the adult, they did not terminate their behavior. They repeatedly grabbed the toy, yanked on it in different ways, and appealed to the adult for help by looking and vocalizing. About 90% (20/23) of those who tried to pull apart the object immediately stared at the adult after they failed to do so (mean latency = 1.74 s). Why were they appealing for help? They had matched the adult’s surface behavior. Evidently, they were striving toward something else: the adult’s goals, not his literal behavior
      • Definately a model of something… And a goal.
    • Page 7: We also conducted related neuroscience work in adults. The results reveal that neural structures known to be involved in adult theory-of-mind tasks (medial prefrontal cortex) are activated in tasks requiring adults to infer unconsummated goals in basic action tasks (Chaminade, Meltzoff, & Decety, 2002; see also Reid, Csibra, Belsky, & Johnson, 2007, for related work). This suggests a tie between the processing of action sequences in terms of goals and more sophisticated aspects of social cognition.
    • Page 7: Our adult commonsense psychology includes a distinction between the types of entities that are accorded goals and intentions and those that are not. We ascribe a goal to the archer not to the arrow that reaches (or misses) the target
      • That’s a fundamental ‘humanness’ definition that Social Trust depends on. If the inferred goals are trustworthy, then slips in behavior are discounted.
    • Page 7: I am currently exploring whether mechanical devices such as social robots can be treated as ‘like me’ based on bodily structure and/ or the type of behavior they exhibit, prompting action imitation by the infant. Preliminary results suggest so.
  • —————–
  • Updated the deployable RatingApp.exe. Asked Andy to set up a Skype meeting so I can demo.
  • Presented and deployed.
  • Made a new CSE that only points to the online Moby Dick, that can be used for query testing.

Phil 4.14.16

7:00 – 3:30 VTX

  • Continuing The ‘like me’ framework for recognizing and becoming an intentional agent
  • Page 2: Perception influences production, and production influences perception, with substantial implications for social cognition.
    • This must be a foundational element of Social Trust. I see you do a thing. I imitate the thing. I feel (not think!) that it is the same thing. I do a thing. You imitate the thing. Think peekaboo. We establish a rapport. This is different from System Trust, where I put something somewhere and it’s still there. System trust may be derived fundamentally from Object Permanence, while Social Trust comes from imitation?
    • This is(?) tied to motor neurons. From Mirror neurons: Enigma of the metaphysical modular brain: Essentially, mirror neurons respond to actions that we observe in others. The interesting part is that mirror neurons fire in the same way when we actually recreate that action ourselves.
      • Implications for design? Journalism is definitely built around the ‘like me’ concept that it is built around stories. IR is much less so, and is more data focused.
    • At section 3 – Experiment 1: learning tool-use by observing others
      • We have Social Trust first. Then we learn to use tools. Tools are different from, though related to the environment. They are not ‘like me’, but they extend me (Heidegger again). More later.
  • Page 3: For example, there is an intimate relation between striving to achieve a goal and a concomitant facial expression and effortful bodily acts.
    • This is like the boot loader or initial dictionary entry. Hard-wired common vocabulary.
  • Page 3: Humans, including preverbal infants, imbue the acts of others with felt meaning not solely (or at first) through a formal process of step-by-step reasoning, but because the other is processed as ‘like me.’ This is underwritten by the way humans represent action—the supramodal action code—and self experience
    • So is there a ‘more like me’ and ‘less like me’?
  • Meeting with Wayne this evening
    • Go over notes
    • Coding session
  • ——————
  • Check to see that reports are being made correctly
    • Fix “Get all rated” Numerous issues, including strings with commas
    • Fix “Get Match Counts” all zeros
    • Fix “Get No Match Counts” redundent
    • Change “Get Blacklist (CSV)” to “Black/White list (CSV)
    • Add “Get Whitelist (Google CSE)
    • Change the Sets in getBlack/Whitelist to use maps rather than sets so blacklist culling can be used with more informative rows.
  • Update remote DB and test a few pages. Ran into a problem with LONGTEXT and Postgress. Went back to TEXT
  • Went over Aaron’s ASB slides a couple of times. Introduced him to Partial Least Squares Structural Equation Modeling (PLS-SEM).
  • Present new system to Andy, Margarita and John. Tomorrow…