Les métiers de l’influence en contexte numérique : une approche sociotechnique des pratiques professionnelles
Bibliographic record
Abstract
Cet article aborde l’influence du point de vue des pratiques professionnelles, en lien avec l’importance accordée au numérique dans les métiers de la communication. L’ambition est de démontrer l’importance de compléter les approches instrumentales et macrocritiques par une analyse fine de la concrétisation des technologies de communication numérique dans l’ordinaire de la pratique professionnelle des communications. L’analyse aborde la situation sociotechnique de ces métiers dans la première moitié des années 2010 en s’appuyant sur une mise en commun de terrains menés en France et au Québec. Des pistes pour une approche sociotechnique de ces pratiques sont proposées en conclusion.
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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 | 0.017 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.018 | 0.015 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".