Politique et reconfiguration des méthodes de sciences humaines et sociales à l’ère de la transition numérique
Bibliographic record
Abstract
Dans le cadre de recherches portant sur la méthodologie à travers l’usage du numérique, Mouloud Boukala, professeur à l’École des médias, Faculté de communication de Université du Québec à Montréal, a conduit en mai 2019 un entretien avec Serge Proulx. Sociologue et professeur émérite à l’École des médias, Serge Proulx est l’auteur, le co-auteur ou le directeur d’une trentaine d’ouvrages sur la communication, la technologie et la société. Ses travaux concernent les mutations des dispositifs d’information et de communication à l’ère numérique, en particulier les innovations et les contributions des usagers dans le contexte du capitalisme informationnel. Au sortir d’une réflexion critique et méthodologique sur l’ensemble des travaux menés lors de sa carrière, Serge Proulx prône une politique des méthodes à l’heure de la transition numérique et montre les conséquences politiques des choix méthodologiques en sciences sociales.
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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 | 0.051 | 0.101 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 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".