Satisfaction à l’égard de la vie, discrimination perçue, religiosité et santé mentale dans l’islam soufi : une perspective montréalaise
Bibliographic record
Abstract
Objective The central objective of this paper is to explore the dynamic interactions between 5 sets of variables, which are Sociodemographic Characteristics, Satisfaction with Life, Perceived Discrimination, Religiosity and Emotional Distress within Montreal's Tariqa Qadiriya Boudchichiya, a Muslim Sufi way whose origins are Moroccan and date back to the 18th century. Method As a method, we considered psychological distress as the dependent variable and performed univariate descriptive statistical analyzes, bivariate correlation analyzes (Pearson correlation), one-way ANOVA analyzes, and multivariate analyzes (linear regressions). Results Our results, although preliminary due to a relatively small sample (n = 56), allow us to put forward a new hypothesis suggesting that the intense spiritual practice that characterizes the Tariqa, would allow "a work of the self on self" through a set of "techniques of the self" (Foucault) that contribute to a certain emotional well-being, if not to mental health. Conclusion Our conclusion underlines the importance of investigating more in depth the possible contribution of religiosity to the subject's capacity to act on oneself in order to emerge as a spiritual, ethical and political subject.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".