Impact of the Charter of Quebec Values on psychological well-being of francophone university students
Bibliographic record
Abstract
This paper discusses results from a pilot study conducted in the spring of 2014 among young adults living in Montreal. The main objective of this study was to assess the relation between perception of the Charter of Quebec Values, 1 self-identification, perception of intercommunity relations, perceived discrimination, and psychological well-being in young students enrolled in undergraduate or graduate programs of a francophone university in Montreal. A total of 441 students (30.5% male, 69.5% female) took part in a web survey designed by the research team. The data analyses and results suggest that the debate around the Charter of Quebec values was associated with a shift from a predominantly positive perception of intercommunity relations to a predominantly negative one, particularly among women, immigrants, and those who self-identified as cultural or religious minorities. In addition, more than 30% of participants reported having experienced some form of ethnic or religious discrimination since the Charter was released (personally or as a witness). This was particularly the case among immigrants, as well as those who self-identified as bicultural or from cultural or religious minority groups. This study’s results thus highlight the exacerbation of intercommunity tensions linked to the public debate around identity and intercommunity relations in Quebec.
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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 | 0.002 | 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 | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".