The Qanuilirpitaa? 2017 Nunavik Health Survey: design, methods, and lessons learned
Bibliographic record
Abstract
OBJECTIVE: To depict the design, methods, sociodemographic characteristics of the population, and lessons learned during the Qanuilirpitaa? 2017 Nunavik Inuit Health Survey, the third major health survey to be conducted among youth and adults residing in Nunavik (Northern Quebec, Canada). METHODS: Qanuilirpitaa? 2017 is a cross-sectional survey that served to update information regarding various aspects of physical health, mental health, and general well-being of Nunavimmiut. The survey was guided by the ethics principles of Ownership, Control, Access, and Possession (OCAP®) ( https://fnigc.ca/ocap ). Questionnaires and clinical tests were administered to residents from the 14 coastal communities onboard the Canadian Coast Guard Ship Amundsen during late summer and early fall 2017. As part of the community component of the survey, qualitative interviews were performed with key respondents, and services and resources supporting health and well-being in the 14 communities were inventoried and characterized. RESULTS: A total of 1326 Nunavimmiut aged 16 and over participated in the survey. Despite difficulties encountered with the recruitment of participants, co-interpretation sessions with Inuit partners revealed that the survey had succeeded in capturing cultural, socio-economic, and lifestyle characteristics of Nunavimmiut. In all, 20 thematic reports have been published covering various aspects of health and well-being of Nunavimmiut. Regional and local reports pertaining to the community component were produced. More in-depth analyses have ensued, and results are presented in articles published in this CJPH supplement issue. CONCLUSION: Information from this survey is being used to update health services and programs in the region and for the development of health policies and public health interventions to tackle key health-related issues faced by Nunavimmiut. Drawing lessons from challenges and successes encountered in Qanuilirpitaa? 2017, this survey paved the way to the upcoming Inuit-led Qanuippitaa? National Inuit Health Survey to be conducted every 5 years throughout Inuit Nunangat.
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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 | 0.037 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".