De-essentializing racial pain: Stories of Filipino health care workers
Bibliographic record
Abstract
This article focuses on findings of a qualitative research study that looked at experiences of Filipino healthcare workers in Canada during the COVID-19 pandemic. The purpose is to contribute to the growing body of literature on mental health among racialized frontline healthcare workers in Canada by investigating factors that affect mental health and barriers associated with accessing services and supports among Filipino healthcare workers in Ontario, Canada. The study employed a cross-sectional qualitative descriptive design to identify strategies that Filipino frontline healthcare workers use to effectively cope with mental health issues, work stress, and structural and economic barriers to their well-being. The study conducted in-depth semi-structured and open-ended interviews with 15 female Filipino healthcare workers. Findings indicate that social support received from colleagues, managers, families, and friends, through forms of assistance and protection, are crucial for dealing with various mental health stressors in the workplace during healthcare crises. Participants indicated that adequate social support help frontline healthcare professionals effectively manage stressful events, including the COVID-19 pandemic.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".