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    Using Clustering to Explore Teacher Communication on Twitter (SMMA 2017)

    While public school teachers in the United States may be constrained from expressing opinions about topics re- lating to their jobs in some public venues, Twitter provides a social platform where these teachers can discuss teaching-related issues and moral views as private citizens. In this work, we develop a computational system, Tweet Capture and Clustering System (TCCS), to support exploration of teachers using Twitter. In particular, TCCS looks at the tweets of a group of teacher tweeters and a list of words of interest, and seeks to identify subgroups of these teacher tweeters who have similar word-usage patterns. In the study reported here, we gather tweets from public Twitter accounts of self-identified teachers over an 11-month period. Through the use of TCCS, we have identified five distinct clusters of teacher tweeters, based on their word usage. Three of these five clusters are defined by the use of moral words. We find that the development and application of computational tools and methods, namely TCCS, allows the exploration of complex philosophical topics in public communication about education.

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    SoME Book Club Book List

    A small, lightweight, system for keeping tack of the books we (the Southern Maine Men’s Book club) have read over the years. It’s a substitute for sites like Google Groups and GoodReads that we used for a while. Built using some very basic JavaScript with jQuery and a few add-ons, like data tables.

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    Zero the Desk

    After a recording session on one of those large mixing desks, after you’ve twiddled countless knobs and push around many faders you do something called zeroing the desk. This is were you turn every control and push every fader back to zero, so that when the next engineer comes in he or she isn’t going to jump out of their seat when a large sub-bass whacks them straight in the face and possibly blows something up. – Brendan Dawes

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    F-Engrave macOS Package

    Packaging of Scorchworks F-Engrave as an macOS Application. F-Engrave generates ‘GCODE’ for Computer Numerical Control (CNC) systems from text and bitmaps. It “Supports Engraving and V-Carving, Uses CXF and TTF fonts, Imports DXF and Bitmap images”. The official F-Engrave and instructions are at Scorchworks. This fork is merely to add packaging for macOS systems, creating a clickable ‘Application’ that can be installed on any macOS system. This eliminates having to run F-Engrave from a Terminal prompt.

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    #teachertweets Bowdoin Faculty Lecture

    Doris and Stephen presenting @DorisASantoro and @stephenhouser present Machine Learning and Moral Communities @bowdoincollege faculty lunch #teachertweets

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    Good Turn (Android)

    After a few months of code-doodling the Good Turn that I developed way back in 2010 on iOS is now available on Android! The app is a complete rewrite in Java using Google Firebase for the data back-end. This version has actually been in development since 2010 after the iOS version was released, I just never got it to a state where I felt it was releasable until now.

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    Good Turn v2.0.0 Released

    This release is a complete rewrite in Swift. There were a number of changes to make this happen but it’s all (mostly) behind the scenes. The one change was adding the ability to share turns using iOS sharing sheets to facebook, twitter, etc..

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