Bibliographic record
Abstract
Au Québec, le rouge et le bleu ont traditionnellement servi d'étendards aux partis qui se sont affrontés sur la scène politique - même si ces couleurs ont pu rallier, au fil du temps, des causes bien différentes. Les 79 textes de cette anthologie rendent compte des débats qui ont façonné la société québécoise depuis la Conquête jusqu'à la Révolution tranquille. On y rencontre les principaux acteurs de cette histoire et les représentants des divers courants de pensée qui l'ont agitée : Étienne Parent, lord Durham, Louis-Joseph Papineau, Robert Nelson, Mgr Lartigue, Louis-Hyppolite La Fontaine, George-Étienne Cartier, Arthur Buies, Wilfrid Laurier, Jules-Paul Tardivel, Henri Bourassa, Olivar Asselin, l'abbé Groulx, Idola Saint-Jean, André Laurendeau, Maurice Duplessis, Fernand Dumont, Pierre Elliott Trudeau et René Lévesque.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.037 | 0.006 |
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".