depressive symptoms of ageing South Asian Canadians
Bibliographic record
Abstract
Background. This study aims to identify socio-cultural–specific characteristics of depressive symptoms in ageing South Asians. Methods. Data were collected in a probability-sampled survey on 210 South Asians aged 55 years and older in Calgary. Depressive symptoms associated with different genders, age, religious affiliations, and the length of residency in Canada were examined. Results. A mean of 2.6 depressive symptoms was reported and 21.4% participants reported being mildly depressive. Differences in depressive symptoms were observed in participants from different gender groups, religious groups, and lengths of residency in Canada. Conclusions. Health providers should understand the intra-cultural differences affecting depressive symptoms and be proactive when discussing commonly reported depressive symptoms with patients, as a strategy for early identification. Mental health professionals should pay attention to intra-cultural and gender differences governing depressive symptoms. Understanding the most frequently reported depressive symptoms enables practitioners to concentrate on these symptoms when they surface. Health providers are encouraged to actively discuss commonly reported depressive symptoms with patients.
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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 | 0.000 |
| 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".