1 From the “Great Darkness ” to the “Quiet Revolution”: Michel Tremblay’s Reinterpretation of the Frontier between the Francophone East and the Anglophone West of Montreal in Some Night My Prince Will Come
Bibliographic record
Abstract
“Throughout my childhood I hadn’t even known that Anglos existed, that Montreal was divided in two, with the east end belonging to us Francophones and the west to the Anglos, that there was a conflict between the two solitudes, as we used to say, a conflict dating back to the Conquest in 1760 and that it was doubtful we’d ever see a way out of it ” (26). “For a long time I’d thought it strange that there were two Santas, one, Francophone at Dupuis Frères, the other, Anglophone, at Eaton’s. Every December my mother took me to meet both of them and I asked each one for the same presents, in French, suspecting that the second didn’t understand me ” (27).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.024 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".