Understanding community crisis response in isolated indigenous communities: a community portrait
Bibliographic record
Abstract
Though crisis response theories and models have existed for a long time in mainstream contexts, there has rarely been Indigenous-specific research, despite the disproportionate prevalence of crises in Indigenous communities. This research thesis combines results from key informant interviews with representatives of the fourteen agencies involved with community crisis response with an analysis of community notes and documents (dating back to 1991) pertinent to crisis response in the community of interest, to answer the research question: 'what are the organizational policies, procedures, and professional practices which guide crisis response in one isolated, Indigenous community?' In addition to descriptive results on the historic and current context for crises and practice of crisis response, thematic analysis provides insight to the community's culture and values, context and resources, and strengths and challenges vis a vis crisis response. The research concludes with discussion on the importance of understanding community culture, values, context, and resources when discussing and implementing crisis response in isolated, Indigenous 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.015 | 0.016 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 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".