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 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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".