The Inuit Holistic service delivery model: a decolonised approach to community wellness in Nunavut
Bibliographic record
Abstract
This paper examines the development and implementation of the Inuit Holistic Service Delivery Model, designed by Qaujigiartiit Health Research Centre and currently being piloted through the Inuusirvik Community Wellness Hub in Iqaluit, Nunavut. The model represents a paradigm shift away from siloed Western service delivery frameworks towards an integrated approach grounded in Inuit epistemology, language, and cultural practices. Drawing on Indigenous methodologies and community-based approaches, this paper articulates how the model's eight interconnected components create a comprehensive wellness system that honours Inuit Qaujimajatuqangit (Inuit knowledge) while addressing contemporary community needs. The innovative approach offers valuable insights for other jurisdictions seeking to decolonise service delivery systems and develop culturally responsive alternatives. This paper contributes to growing scholarship on Arctic Indigenous health and wellness frameworks by demonstrating how the Inuit Holistic Service Delivery Model deserves recognition in academic discourse as a unique and innovative approach to community wellbeing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 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".