Bibliographic record
Abstract
Abstract. This article describes how the remembrance of historical events contributes to, and is shaped by, nationalism in Ireland and Quebec. Remembered historical events contribute to the growth of nationalism if they serve at least one of five purposes: defining the conceptual boundaries of the nation, reinforcing a sense of pride in the nation's achievements, evoking feelings of pity and indignation at the losses suffered by the nation, legitimizing the actions or principles of present-day leaders, or inspiring a belief that the nation will eventually triumph. Eight remembered events, four in Ireland and four in Quebec, are discussed in relation to these five purposes. The article concludes that historical remembrance has been a more powerful influence on nationalism in Ireland than in Quebec. Résumé. Cet article raconte comment le souvenir des évenements historiques contribue au renforcement du nationalisme en Irlande et au Québec. Le souvenir d'un évenement historique aura cet effet s'il aide … definir la communauté nationale,s'il stimule des sentiments de la pitié et de l'indignation envers la nation et ses tribulations, s'il légitime les actions et les idées des nationalistes actuels, ou s'il encourage l'esperance que la nation va triompher contre ses adversaires. L'article examine quatre evenements historiques, irlandais ou québécois, avec le but de déterminer s'ils contribuent … ces cinq objectifs. Selon sa conclusion, l'influence des souvenirs historiques a été plus puissante en Irlande q'au Québec, ce qui explique la plus grande intensité du nationalisme irlandais.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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".