Un dispositif éditorial collaboratif aux frontières des métiers de chercheur et de bibliothécaire : le carnet de recherche DLIS de l’Enssib
Bibliographic record
Abstract
Le carnet de recherche Digital Libraries & Information Science (DLIS) est une initiative originale de l’Enssib, qui a pour vocation de rapprocher les communautés professionnelles opérant dans le domaine des sciences de l’information et des bibliothèques. Cet article montre comment, au sein de ce dispositif éditorial collaboratif et partagé, les compétences en matière d’information et de documentation, à la fois communes et spécifiques aux métiers de chercheur et de bibliothécaire, convergent autour de la fonction d’éditorialisation de leurs pratiques professionnelles.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.023 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".