Can Media and Technology Help Make “Another World Possible”? Reflections from the Media@McGill Research Delegation to the 2015 World Social Forum in Tunisia
Bibliographic record
Abstract
This research-in-brief summarizes activities of our research delegation to the 2015 World Social Forum (WSF) in Tunis, including our participation in two associated events: the World Forum on Free Media (WFFM) and preparatory meetings for an eventual global Internet Social Forum (ISF). The WFFM and ISF provided rich terrain for our delegation to document and study contemporary struggles around communication media and technology issues. We report on these encounters as a way to foreground the many similar opportunities available to Canadian media, communication, and technology scholars at annual WSFs, in particular, the WSF coming to Montréal in August 2016. Notably, the 2016 WSF will be the first forum held since its inception in 2001 outside the global south.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.064 | 0.037 |
| Scholarly communication | 0.027 | 0.012 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".