Climate change and its impact on the mental health well‐being of Indigenous women in Western cities, 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
Abstract This collaborative paper explores the interconnections between climate change and the mental health and well‐being of Indigenous women in Western Canada. As the impacts of climate change intensify globally, vulnerable populations, particularly Indigenous communities, face disproportionate and multifaceted challenges. Centering on Indigenous women in Western Canada, this study explores how the climate crisis magnifies Indigenous communities' mental health disparities. Drawing from the Indigenist feminist research approach, the investigation focuses on Indigenous women's lived experiences, perceptions, and land‐based coping strategies amidst climate challenges, while simultaneously addressing the unique social, cultural, and historical factors influencing their mental health vulnerabilities within the context of climate change. The findings shed light on the complex relationships between environmental degradation, ongoing colonial impacts on traditional practices, and the mental well‐being of Indigenous women. Concluding with implications for policy and community‐led interventions, this research contributes to the discourse on the intersectionality of climate change impacts and mental health, particularly focusing on Indigenous women in Western Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it