Des étudiants de l’Université de Montréal expérimentent la lecture électronique avec NetLibrary
Bibliographic record
Abstract
Cet article présente une expérience de lecture électronique menée par des étudiants des cycles supérieurs à l’Université de Montréal (UdeM), dans le cadre de leurs cours universitaires, avec le système de livres-Web NetLibrary, Les résultats rapportés ici sont tirés d’une étude doctorale portant sur l’utilisation de deux systèmes de lecture sur support numérique (livres électroniques) en milieu universitaire : des dispositifs nomades que sont les Tablet PC et des livres-Web provenant de NetLibrary. Ont été étudiés les stratégies de lecture utilisées, les éléments de NetLibrary qui affectent la lecture et les perceptions qu’ont les étudiants d’un système de lecture comme celui du NetLibrary.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 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".