Global Media Journal - édition canadienne
Bibliographic record
Abstract
Les dernières deux décennies ont été témoin d’une transformation rapide des médias traditionnels vers les nouveaux médias, qui englobent les technologies de l’information et de la communication numériques, informatisées et en réseaux. Ce changement a soulevé des soucis et des discussions entourant les implications positives et négatives des nouveaux médias, ainsi que d’autres enjeux tels que: le contrôle de l’information, la quantité et la rapidité de la communication, la sphère publique démocratique Habermasienne et l’influence mondiale des conglomérats de média. La recherche théorique de Marshall McLuhan sur les technologies de la communication a enrichi la compréhension historique du changement social. D’après lui, le moyen dominant à un temps précis façonne, de façons relatives, la manière dont nous percevons et comprenons le monde qui nous entoure. Par conséquent, nous ne pouvons pas comprendre une expérience technologique sans étudier son contexte social.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.019 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.026 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.405 | 0.259 |
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".