Nouveaux membres du Conseil / New Council Members
Bibliographic record
Abstract
La nouvelle Secrétaire de langue anglaiseThe new English-Language Secretary Alexandra Mosquin est historienne en architecture à la Direction générale des lieux historiques nationaux du conseiller national de Parcs Canada.Elle travaille à l'histoire des communautés ethnoculturelles, une priorité du programme fédéral de commémoration historique.Alexandra effectue aussi des recherches historiques sur de nombreux immeubles, propriétés de l'État, pour le Bureau d'examen des édifices fédéraux du patrimoine.Même si elle travaille maintenant à titre d'historienne publique, Alexandra a défendu sa thèse de doctorat en 2003 à l'Université York.Son sujet était : « Annoncer le Canada à l'étranger : le Canada en montre aux expositions internationales, 1920-1940 ».Alexandra Mosquin is an architectural historian at the National Historic Sites Directorate at Parks Canada, she is their advisor for a priority of the national commemoration program: ethnocultural communities history.Alexandra
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.172 | 0.042 |
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".