Stress and depressive symptoms in Latin Americans in Toronto
Bibliographic record
Abstract
Purpose The paper's aim is to determine whether the SAFE (acculturative stress), PHQ‐9 (depressive symptoms) and MSPSS (individual social resources) scales are considered acceptable measures to be used in the Spanish‐speaking Latin American immigrant population in Toronto. Design/methodology/approach The PHQ9, MSPSS and SAFE were completed by a group of ten Spanish‐speaking Latin Americans recruited through an organization that offers services to immigrants in Toronto. The need for clarification of questions was noted as well as the comments that respondents made to the process. Findings Participants felt comfortable responding the questionnaire. There was little duplication when the three scales were used together. The average time to complete the survey was 21 minutes. Originality/value There has been no community based quantitative study of mental health in the Spanish‐speaking community in Toronto that has used the SAFE (acculturative stress), PHQ‐9 (depressive symptoms) and MSPSS (individual social resources) scales. This pilot study tested the suitability of these scales with this population. The PHQ9, SAFE and MSPSS are acceptable scales to be used in surveys in the Spanish‐speaking Latin American population in Toronto.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".