Analyser l’adoption des réseaux socionumériques professionnels : entre approche pragmatiste et étude de la dimension symbolique des usages
Bibliographic record
Abstract
Les réseaux socionumériques professionnels (RSP) constituent un objet de recherche récent. Parmi les travaux précurseurs, nombreux sont ceux privilégiant une approche pragmatiste de l’objet. Il apparait qu’une approche centrée sur les modes d’appropriation peut paradoxalement rater certaines caractéristiques de son objet, les RSP étant parfois pensés indépendamment des rôles qu’ils assument pour leurs utilisateurs. Dans un premier temps, notre contribution identifie cette limite. Dans un second temps, nous proposons une approche des RSP qui intègre, à l’analyse de l’usage, un questionnement relatif aux fonctions symboliques attribuées à, et assumées par, ces outils de communication.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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; both teacher heads agree on what is shown here.
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".