Anquetil Sophie, Duteil Carine et Lloveria Vivien (2019), Le Sens des données. Le statut du corpus et herméneutique à l’aune des humanités numériques. Paris, L'Harmattan.
Bibliographic record
Abstract
Le sens des données, est un ouvrage collectif, dirigé par Sophie AQUETIL, Carine DTEUIL – MOUGEL et Vivien LLOVERIA. Cet ouvrage s’inscrit dans la lignée des travaux de la philosophie de technique, l’épistémologie des données et le sens qu’elles peuvent avoir dans un contexte numérique. Les co-auteurs interrogent, dans leur analyse, le signe sémiotique, le contenu sémantique et les usages de la pragmatique pour détecter la manière selon laquelle se construit le sens de la donnée numérique et...
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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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".