Perceived Discrimination and Its Association With Psychological Distress Among Newly Arrived Immigrants Before and After September 11, 2001
Bibliographic record
Abstract
OBJECTIVES: We compared the evolution of perception of discrimination from 1998 to 2007 among recent Arab (Muslim and non-Muslim) and Haitian immigrants to Montreal; we also studied the association between perception of discrimination and psychological distress in 1998 and 2007. METHODS: We conducted this cross-sectional comparative research with 2 samples: one recruited in 1998 (n = 784) and the other in 2007 (n = 432). The samples were randomly extracted from the registry of the Ministry of Immigration and Cultural Communities of Quebec. Psychological distress was measured with the Hopkins Symptom Checklist-25. RESULTS: The perception of discrimination increased from 1998 to 2007 among the Arab Muslim, Arab non-Muslim, and Haitian groups. Muslim Arabs experienced a significant increase in psychological distress associated with discrimination from 1998 to 2007. CONCLUSIONS: These results confirm an increase in perception of discrimination and psychological distress among Arab Muslim recent immigrant communities after September 11, 2001, and highlight the importance this context may have for other immigrant groups.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".