Entre nationalismes irlandais et canadien-français : Les intrigues québécoises de la <i>Self Determination for Ireland League of Canada and Newfoundland</i>
Bibliographic record
Abstract
Abstract: In May of 1920, the Self Determination for Ireland League of Canada and Newfoundland (SDIL), an Irish republican organization, was founded in Montreal. The League opposed the actions of the British government of David Lloyd George at the time of the Anglo-Irish War (1919–1921), but it primarily presented itself as a Canadian organization. This article will describe the founding and evolution of this association still neglected by Irish-Canadian historiography. Deliberately focused on the experience of the SDIL in Quebec, the article highlights that two former Irish nationalist traditions clashed in the province: one, constitutional autonomist, and the other, republican. Despite this division of Irish-Quebec nationalist forces, the involvement of French-Canadian elites in the SDIL contributed to making the League a success in Quebec. At the time, journalists and politicians like Omer Héroux, Armand Lavergne and Henri Bourassa effectively supported the goals of the SDIL. This pragmatic agreement between Irish and French-Canadian coreligionsists who had often clashed at the beginning of the twentieth century (especially on the subject of French education in Canadian schools) incidentally constituted one of the original elements of the business of the SDIL.
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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 | 0.003 | 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 | 0.026 | 0.016 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".