Bibliographic record
Abstract
The CHR is publishing the papers presented at the Sir John A. Macdonald Prize roundtable which took place during the 2012 Canadian Historical Association’s annual congress. This is the most prestigious prize awarded each year by the Association for the best scholarly book in Canadian history. The roundtable provides the opportunity for historians in the field to discuss the winning study’s contribution from multiple perspectives. The 2011 winner was Michel Ducharme’s Le concept de liberté au Canada à l’époque des Révolutions atlantiques (1776–1838) , published by McGill-Queen’s University Press (2010). La CHR publie les communications présentées à la table ronde Sir John A. Macdonald qui est au programme du congrès annuel de la Société historique du Canada. Il s’agit du prix le plus prestigieux décerné par l’Association chaque année pour honorer la meilleure publication en histoire canadienne. La table ronde donne la chance à des historiens/nes dans le domaine d’analyser la contribution de l’ouvrage gagnant à partir de points de vue multiples. En 2011, le lauréat du prix fut Michel Ducharme pour son étude intitulée Le concept de liberté au Canada à l’époque des Révolutions atlantiques (1776–1838) , publiée par McGill-Queen’s University Press, 2010.
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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.030 | 0.032 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.029 | 0.031 |
| Insufficient payload (model declined to judge) | 0.005 | 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".