Indigenous Community Praxis and Programs during COVID-19
Bibliographic record
Abstract
The COVID-19 Pandemic has substantially affected Indigenous communities. Deterrence of physical and mental health within Indigenous communities has been prevalent through unjust social, environmental and economic factors, due to pre-existing health conditions, unsustainable and overcrowded housing, limited health care and mental health services, and inadequate access to clean drinking water (Independent Auditor’s Report, 2021). These factors have resulted in exacerbated mental health and trauma symptoms (Arriagada, et. al., 2020). Indigenous communities have needed to adapt methods of attaining mental health and medical services, in order to maintain personal and communal wellbeing. We offer a summary of the delivery of two programs: The Medicine Keeper Wellness Program and Creative Corner Program, which were conducted in Northern Central Interior and Southern Indigenous communities by Indigenous social workers, to continue individual and community wellness. These programs navigated the barriers presented as a result of COVID-19 and the restrictions therein, to accessing social work and therapeutic services.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".