A Dene First Nation’s community readiness assessment to take action against HIV/AIDS: a pilot project
Bibliographic record
Abstract
BACKGROUND: Among Indigenous people in Canada the incidence of HIV is 3.5 times higher than other ethnicities. In Manitoba First Nations, Metis and Inuit people are disproportionately represented (40%) among people who are new to HIV care. Northlands Denesuline First Nation (NDFN) identified the need to revisit their level of knowledge and preparedness for responding to the increasing rates of HIV. NDFN piloted a community readiness assessment (CRA) tool to assess its appropriateness for use in northern Manitoba. METHODS: A First Nation and non-First Nation research team trained to administer the CRA tool at NDFN in Manitoba. Five informants were interviewed using the CRA tool and the responses were scored, analysed and reviewed at community workshops and with stakeholders to develop a 1-year action plan. RESULTS: CRA training was best conducted in the community. Using the readiness score of 2.4 along with feedback from two workshops, community members, the research team and stakeholders, we identified priorities for adult education and youth involvement in programmes and planning. CONCLUSIONS: In response to the increasing incidence of HIV, a northern First Nation community successfully modified and implemented a CRA tool to develop an action plan for culturally appropriate interventions and programmes.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".