France Daigle, héritière de Gérald Leblanc : de Moncton mantra à Petites difficultés d’existence
Bibliographic record
Abstract
Cet article examine comment France Daigle se fait l’héritière du projet de Gérald Leblanc en contribuant à la transformation de Moncton en capitale littéraire de l’Acadie. Nous revenons d’abord sur la fonction et la nécessité des capitales à partir des travaux de Pascale Casanova et de Raoul Boudreau. Puis, nous analysons les stratégies d’écriture mises de l’avant dans Moncton mantra de Leblanc et reprises dans Petites difficultés d’existence de Daigle pour transformer Moncton en capitale littéraire. Nous verrons que les deux écrivains font contrepoids à la taille relative de Moncton en mettant l’accent sur son urbanité. Ils présentent la ville à la fois comme un lieu cosmopolite branché sur le monde et un pôle d’attraction qui accorde une place importante à l’art et à la culture.
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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 | 0.004 | 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 | 0.012 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".