Thérèse Belleau, pionnière 'fantomatique' de l'archéologie au Québec
Bibliographic record
Abstract
(English below) Cette étude présente une biographie de Mme Thérèse Belleau, première professeure d’archéologie à l’Université de Montréal engagée en 1958, débutant par un survol de qu’on sait sur la vie et la formation académique de Mme Belleau. S’en suit une discussion de sa formation en Europe (thèse à l’École d’Anthropologie de Paris, études post-graduées à l’Université de Londres) et de son embauche à l’Université de Montréal. Divers fonds d’archive permettent de retracer son travail au Musée national du Canada (Ottawa), incluant des conférences, publications et fouilles archéologiques au site Hughson, en Ontario. L’engouement suscité par son engagement à l’Université de Montréal est souligné et le texte conclut par un aperçu de ses activités scientifiques aux États-Unis et en Australie après 1959.•This study presents a biography of Mrs. Thérèse Belleau, the first archaeology professor to be hired at the University of Montreal in 1958, beginning with an overview of what can be gleaned from scientific sources about her life and academic trajectory. This is followed by a discussion of her training in Europe (thesis at the École d’Anthropologie de Paris, post-graduate studies at the University of London) and her hiring at the University of Montreal. Various archival sources detail her work at the National Museum of Canada (Ottawa), including conferences and archaeological excavations at the Hughson site, in Ontario. We highlight the excitement that her hiring at the University of Montreal created, and the paper concludes with a summary of her scientific activities in the USA and Australia after 1959.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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 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".