Les modèles économiques de l’accès libre : réflexions à partir de l’expérience d’Érudit
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
La plateforme Érudit ( http://www.erudit.org/ ) est une institution phare dans le domaine de la documentation au Québec. Ses collections, comme sa consultation, sont en progression continue. Malgré cela, le financement d’Érudit reste problématique. Il s’agira d’abord, dans cet article, de dresser un portrait des principaux défis auxquels fait face une structure comme Érudit au moment de revoir son modèle d’affaires, et de souligner, ensuite, l’impact des modes de financement de l’accès libre, non seulement sur la libre circulation des résultats de la recherche, mais aussi sur la recherche elle-même, sur les domaines qu’elle défriche et sur l’indépendance avec laquelle elle est conduite.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.042 | 0.072 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it