Mental health services in the Northwest Territories: a scoping review
Bibliographic record
Abstract
The impacts of colonization have had significant impacts on the mental health and community wellness Indigenous peoples in the Northwest Territories (NWT). It is important that all communities in the NWT have access to key services in a culturally relevant way in achieving mental and community wellness. A scoping review was conducted to identify mental health services available in the NWT. To guide the understanding of the landscape of mental health services in the NWT, the information on health services gathered was organized using the First Nations Mental Wellness Continuum (FNMWC) Model's Continuum of Essential Services. Documents accessed included grey literature, consisting of government documents, practice guidelines, education materials, community wellness reports, internet searches and expert consult interviews to collect data on mental health and wellness services in the NWT. 68 mental health services were included in this review, from 23 different sources. Results were summarized and described the Continuum of Essential Services from the FNMWC Model. This guided approach was found to be useful for mapping mental health services for communities in the NWT. The findings highlight and catagorize existing mental health services and gaps in relation to a First Nation's perspective using the FNMWC Model. Specific areas examined included the Continuum of Essential Services, Key Partners, Culture as a Foundation, and Indigenous Social Determinants of Health. Findings can guide communities and health authorities in planning, implementing and coordinating a full range of optimized mental health services in the NWT.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.011 | 0.017 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| 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".