Bibliographic record
Abstract
This special issue of Études Canadiennes/ Canadian Studies has decided to revisit the concept of solitudes by exploring the social, linguistic and cultural interactions between the original inhabitants, the Indigenous peoples of Canada, and what has come to be called the "founding races", as well as the more recent allophone communities, by considering the way they depict one another (or not) in fiction, song, and the visual arts.A quick glance at some of the national ethnic celebrations that have sprouted since the end of the 20 th century is a clear indication of the federal government's attempt to strengthen the bridges between the various communities that make up Canada's social fabric: Black History Month in February since 1996, Asian Heritage Month since May 2002, Multiculturalism Day since June 27th, 2002, National Acadian Day since 2003 (which had been celebrated regionally in New Brunswick since August 15 th 1881), National History Indigenous Month since June 2009 following Stephen Harper's 2008 apology for the Indian Residential Schools system.National Indigenous Peoples Day (formerly called National Aboriginal Day) is celebrated every summer solstice on June 21 st since 1996 just as Saint Jean-Baptiste Day, which emerged in 1834 in Montreal to compete with the celebration of Saint Patrick's Day, is observed throughout the country's francophone communities on June 24 th .
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.015 | 0.037 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.013 | 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".