EDITORIAL LISTEN UP: YOUNG PEOPLE AND MEDIA PRODUCTION
Bibliographic record
Abstract
This special edition of the McGill Journal of Education sets out to consider the political, social, cultural, and educational significance of youth media production. Changes in access to technology have facilitated new conditions for young people to shoot, cut, and mix multimodal texts, and the emergence of the Internet as “home theatre ” for a global audience has enabled youth to communicate across borders and across the street. These new conditions have allowed for an outpouring of youth expression, a channelling of la-tent youth voice, now redoubled with the potential of making a difference, changing someone’s mind, making a mark on society. From an educational point of view, this suggests that we should now be directly interested in the content of what young people have to say and engage with it fully. There is less a sense that entry into new literacies is framed in respect to a deferred future; rather, there is an interest in lived experience in the here and now. And yet, despite the reach of young people into the public domain, there has been scant theorizing of output made by young people and little connec-
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.029 | 0.010 |
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".