Inventory of Canadian Repository Platforms - Inventaire de plateformes de dépôt canadiens
Bibliographic record
Abstract
The CARL Canadian Repositories Community of Practice currently oversees the collection of data on repository platforms in use across Canada. This collection of data was previously overseen by the CARL Open Repositories Working Group (ORWG). This dataset reflects updates collected from repository managers at the end of each year. More information on this initiative: https://www.carl-abrc.ca/advancing-research/institutional-repositories/ La Communauté de pratique des dépôts canadiens de l'ABRC est responsable d'un inventaire des plateformes de dépôts utilisées au Canada. Cet inventaire était auparavant supervisé par le Groupe de travail sur les dépôts ouverts de l'ABRC. Ces données reflètent des mises à jour contribuées par la communauté de dépôt canadien à chaque fin d'année. Détails supplémentaires sur cette initiative : https://www.carl-abrc.ca/fr/faire-avancer-la-recherche/depots-institutionnels/
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.032 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.025 |
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".