Impacts of the 2013 Floods on Families' Mental Health in Alberta: Perspectives of Community Influencers and Service Providers in Rural Communities
Bibliographic record
Abstract
Disasters can have a detrimental impact on the physical, social, mental health, and well-being of individuals, families, and communities. The 2013 floods in Southern Alberta affected rural communities and created a sudden and substantial need for mental health services and resources. The Alberta Resilient Community Research Project was undertaken to understand the perspectives and experiences of community influencers who were engaged in the post-flood recovery process to promote resilience, mental health, recovery, and well-being for children and youth living in rural communities. Using the community-based participatory research approach, the authors interviewed community influencers and social service providers (n = 37) from various service organizations. To build a resilient community, the project implemented several promising practices to promote and foster the resilience of children, youth, and their communities post-flood in rural Southern Alberta. Recommendations will be provided for disaster preparedness and long-term recovery in rural communities.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".