Bibliographic record
Abstract
Lana Wylie, Perceptions of Cuba: Canadian and American Policies in Comparative Perspective, reviewed by Karen Dubinsky Alvin Finkel, Sarah Carter, and Peter Fortna, eds., The West and Beyond: New Perspectives on an Imagined Region, reviewed by R. Douglas Francis Jerry Lockett, Captain James Cook in Atlantic Canada: The Adventurer & Map Maker's Formative Years, reviewed by Jeffers Lennox James Jackson, The Riot That Never Was: The Military Shooting of Three Montrealers in 1832 and the Official Cover-up, reviewed by Dan Horner James W. Macnutt, Building for Democracy: The History and Architecture of the Legislative Buildings of Nova Scotia, Prince Edward Island, and New Brunswick, reviewed by Geoffrey Simmins Shurlee Swain and Margot Hillel, Child, Nation, Race and Empire: Child Rescue Discourse, England, Canada and Australia, 1850–1915, reviewed by Xiaobei Chen Jean Morrison, Labour Pains: Thunder Bay's Working Class in Canada's Wheat Boom Era, reviewed by Nathan Smith Ken Leyton-Brown, The Practice of Execution in Canada, reviewed by Carolyn Strange Eric McGeer, Words of Valediction and Remembrance: Canadian Epitaphs of the Second World War, reviewed by Steve Marti Serge Marc Durflinger, Veterans with a Vision: Canada's War Blinded in Peace and War, reviewed by Nathan Smith
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.428 | 0.366 |
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".