Workplace mental health characteristics of the Indigenous workforce in Canada: A descriptive study
Bibliographic record
Abstract
BACKGROUND: The Indigenous workforce in Canada is challenged by a history of Euro-Canadian colonialism that has presented deleterious health outcomes, including those in the workplace. OBJECTIVE: The aim of this study was to describe the mental health of Indigenous workers in the workplace. METHODS: We used the Canadian Community Health Survey (CCHS) between 2015 to 2016. Data were analyzed using the Public Use Microdata Files to profile the workplace mental health characteristics of First Nation Canadians (n = 6,297) and Canadians (n = 84,155). We utilized secondary data analysis design. The analyses included descriptive statistics (e.g., means and standard deviations) of self-reported mood disorders (depression, bipolar, mania, dysthymia), anxiety (phobia, OCD, panic) and occupational factors (e.g., demographic, days off work due to an acute mental health condition, job type, and job stress) in indigenous peoples living off-reserve and other Aboriginal settlements in the provinces. RESULTS: We examined the indigenous cohort between the ages of 18-64 who were employed. The sample was 53.1% male, married (34.8%), and obtained a post-secondary diploma or university degree (57.9%). The study reported statistically significant gender and age differences across mood and anxiety disorders (p < 0.05), job stress (p < 0.05) and workload (p < 0.05). CONCLUSION: To the best of our knowledge, this is the first study to describe the work profile of indigenous populations in Canada across various occupational mental health (e.g., mood disorders, anxiety) and demographic (e.g., age, education attainment) outcomes.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".