Health Status Change of English, French and Chinese Immigrants in Ottawa and Gatineau, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Health status change of the immigrants is of particular interest to health researchers and policy-makers, because it can impact population health outcomes; English, French and Chinese speaking immigrants are main immigrant sub-groups in Canada. Objectives: The multicultural study aims at examining general Health Status Change of English, French and Chinese speaking immigrants in Ottawa and Gatineau, Canada, and identifying demographic factors that correlate with the change and impact the change. Methods: In total, 810 English, French and Chinese speaking immigrants in Ottawa and Gatineau, Canada were recruited by purposive-sampling. Using self-reports, respondents answered questions regarding general Health Status and Demography in a Multicultural Lifestyle Change Questionnaire of English, French or Chinese version. Data in Health Status Change were analyzed statistically in percentage, significance of difference, correlation and regression. Results: Immigrants of different gender, language and category sub-groups exhibited different Health Status Change Rates, Health Status Improving Rates and Health Status Declining Rates, but no statistical difference between the rates. Immigrant general Health Status Change was correlated positively with Age and Primary Occupation, and negatively with Income. Mother Tongue, Primary Occupation and Income significantly impacted Health Status Change. Conclusion: Immigrants of different sub-groups in Canada experienced different health status change. The results supported
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it