Usage et diffusion des revues savantes québécoises en sciences sociales et humaines : analyse des téléchargements de la plateforme Érudit
Bibliographic record
Abstract
Cette étude exploratoire s’intéresse à la consultation des revues savantes québécoises en sciences sociales et humaines diffusées par la plateforme Érudit. Basée sur l’analyse de 39 437 659 téléchargements de 2010 à 2015, elle vise d’abord à fournir un portrait de l’usage 1 des articles de revues savantes diffusés par Érudit en fonction des disciplines et de la provenance des téléchargements, puis à évaluer l’effet des politiques de libre accès sur les téléchargements dont elles bénéficient. Les résultats obtenus démontrent l’importance des revues nationales pour les sciences sociales et humaines, ainsi que l’effet positif du libre accès sur la diffusion des connaissances, tant au Canada qu’à l’étranger.
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.
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 | 0.111 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.033 | 0.091 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".