Digital Tipping Point: computer science student Josh Abraham 01
Bibliographic record
Abstract
This is one of many short video segments which will be added to the Digital Tipping Point (DTP) archive. This segment features Josh Abraham, a computer science student at Northeastern University, talking about how he became involved in the open source community. He was introduced to Jon Maddog Hall by his step dad, who was a General Manager for the Linux Business Expo, which at that time was co-located with Comdex. He was 14 years old. Over Chinese food, Maddog convinced Josh that he would like the community aspect of open source work. As Josh became more involved in free open source software, he saw that participating in the community was an opportunity for him to meet friends from all over the world (he mentions Canada and Germany in particular). He felt there was a coolness factor in being able to work with Linux. It was a way for him to get greater status and respect from upper classmen. tape id = e-dv204_6_cambridge_abraham_08-05_001.ogg The DTP will be many, many films created by the global open source video community about how open source is changing their lives. We, the DTP crew, are submitting this footage for anyone to rip, mix, and burn under the Creative Commons Attribute - ShareAlike license. We welcome edits, transcriptions, graphics, music, and animation contributions to the film. Please send a link for any contributions to Christian Einfeldt at einfeldt at gmail.com. Or, if you would like to contribute by directly transcribing this particular video segment, you can do so by going here http://digitaltippingpoint.com/wiki/index.php/Tape_204 and typing the audio as you hear it into the wiki. Please be sure to add the transcription for this segment under segment 001. You can find other ways to contribute by going to our wiki front page here: http://digitaltippingpoint.com/wiki/index.php/Main_Page Thanks for viewing our video!
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.129 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".