Bibliographic record
Abstract
Résumé Le mandat des Archives du Yukon est d’acquérir, préserver et rendre accessibles des fonds d’une importance pérenne pour la compréhension de l’histoire et du développement du Yukon et de fournir de la documentation sur ses divers peuples, cultures et sociétés. Les Archives font l’acquisition de documents publics en provenance du gouvernement et des communautés du Yukon, ainsi que des archives privées léguées par des individus, des corporations, des organisations, des groupes religieux, etc. Les Archives du Yukon possèdent également une grande bibliothèque pour la recherche contenant des publications en histoire, en ethnographie, en sciences et en sociologie ainsi que des rapports portant spécifiquement sur le Yukon et ses peuples. Abstract The mandate of Yukon Archives is to acquire, preserve, and make accessible records of lasting importance to understanding the history and development of Yukon and documenting its diverse peoples, cultures, and society. The archives acquires public records from its sponsoring agency (the Yukon government) and Yukon communities and private records from individuals, corporations, societies, religious groups, etc. Yukon Archives also includes a large research library of historical, ethnographic, scientific, and sociological publications and reports of relevance to the study of Yukon and its peoples.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.141 | 0.014 |
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".