Bibliographic record
Abstract
The article deals with the election campaign and the results of the general elections to the National Assembly of Quebec held on October 3, 2022. The author claims that these elections demonstrated the preservation of fairly broad support for the Coalition avenir Québec (CAQ), a sharp drop in the popularity of the sovereignist project championed by the Parti québécois (PQ), a clear split in electoral preferences between “Big Montreal” consistently voting for the provincial Liberals (PLQ) and “The Rest of Québec”, as well as a certain increase in the polarization of the provincial electorate and its protest moods. It is noted that during these elections, the shortcomings of the existing electoral system became particularly evident. It is stressed that québécois nationalism, to which all the leading political forces of Québec appeal, remains the most important driving force of provincial politics. The author points out that the modern Québec politics is characterized by increased attention to issues of federal-provincial relations, protection of the French language, French-Québec culture and identity, with a clear decline in separatist sentiments and against the background of the expansion of the political spectrum.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".