Stress and burnout amongst Aborginal peoples : quantitative and qualitative inquiries
Bibliographic record
Abstract
The purpose of this research project is to provide an understanding from a Aboriginal perspective of stress and burnout and how these phenomena exist within a Aboriginal worldview and environment. Using quantitative and qualitative methodologies, the research project seeks to identify the current burnout levels and occupational health of Aboriginal individuals and to compare these findings with the existing results from non- Aboriginal workers in Canada. To aid in understanding these results a narrative account of Aboriginal stress and burnout experiences is also provided. This research project is unique in that it seeks to provide an outlook about Aboriginal people from the perspective of Aboriginal people. The findings suggest that Aboriginal burnout levels identified in this study are comparable and of a similar virulence to those experienced by non-Aboriginal workers both in Canadian and global work settings. Over a third of employed Aboriginals participating in this study showed high levels of depersonalization, lack of personal accomplishment, and emotional exhaustion. The qualitative interviews also revealed several causes of stress that are unique to working in a Aboriginal environment. Taken together the results identify that Aboriginal stress and burnout are important issues that need to be addressed at the individual, organizational, and community levels.
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".