Bibliographic record
Abstract
Bauer, O. (2017).Bagel et smoked meat ou le got juif de Montral [Site web de la Montreal Jewish Federation].Juifs d'ici.http://www.juifsdici.ca/category/gastronomie-alimentation/Ni le boulanger juif de Vienne qui cra en 1663 un petit pain en forme d'trier (Beugel en allemand) en l'honneur de Jan Sobieski, roi de Pologne, ni Aaron Saft, cet immigr roumain qui ouvrit en 1884 la premire boucherie cacher de Montral ne se doutaient qu'ils bouleverseraient profondment les habitudes alimentaires des Montralais.Et pourtant, au cours du 20 e sicle, le bagel et la smoked meat sont devenus les nourritures iconiques de la mtropole qubcoise.Or ce sont deux nourritures typiquement juives ashknazes et l'on peut s'tonner qu'elles soient devenues emblmatiques d'une ville dans laquelle les Juifs ne formrent jamais plus qu'une minorit.On va voir comment ? et pourquoi ?, mais on commencera par prciser quoi ?.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".