Les métiers de l’information de demain : Cinq défis à relever
Bibliographic record
Abstract
Dans une société que, depuis un demi-siècle, on s’entend à qualifier d’informationnelle, les professionnels de l’information occupent une position clé pour le développement des organisations publiques et privées. Or, en cinquante ans, le contexte a considérablement changé, que ce soit dans la nature de l’information elle-même, dans les méthodes de gestion et d’accès, dans les outils qui mettent en œuvre ces méthodes, ainsi que dans les pratiques et les usages. Face aux mutations de leur écosystème, les compétences des professionnels doivent donc constamment s’ajuster. Bernard Jacquemin et Stéphane Chaudiron identifient cinq défis à relever : la mouvance Open Science , l’ouverture des données, l’IA, le web social, l’engagement éthique.
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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 | 0.044 | 0.097 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.012 | 0.041 |
| Scholarly communication | 0.030 | 0.051 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".