Granjon (Fabien), Classes populaires et usages de l’informatique connectée. Des inégalités sociales-numériques .
Bibliographic record
Abstract
Article disponible en ligne l'adresse https://shs.cairn.info/revue-francaise-de-sociologie-2022-3-page-595?lang=fr Dcouvrir le sommaire de ce numro, suivre la revue par email, s'abonner... Scannez ce QR Code pour accder la page de ce numro sur Cairn.info. Distribution lectronique Cairn.info pour Presses de Sciences Po.Vous avez l'autorisation de reproduire cet article dans les limites des conditions d'utilisation de Cairn.infoou, le cas chant, des conditions gnrales de la licence souscrite par votre tablissement.Dtails et conditions sur cairn.info/copyright.Sauf dispositions lgales contraires, les usages numriques des fins pdagogiques des prsentes ressources sont soumises l'autorisation de l'diteur ou, le cas chant, de l'organisme de gestion collective habilit cet effet.Il en est ainsi notamment en France avec le CFC qui est l'organisme agr en la matire.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".