Bibliographic record
Abstract
Peu d'informations sont disponibles sur la prévalence de la sécurité alimentaire chez la population inuite. Limitées à quelques communautés inuites, aucune étude ne rapporte la prévalence pour l'ensemble du Nord canadien. Durant l'Année Polaire Internationale, l'enquête transversale Inuit Health Survey a été réalisée dans 36 communautés inuites (2595 participants). Des informations sur les caractéristiques communautaires, domestiques, individuelles et alimentaires ont été recueillies au moyen d'entrevues et de mesures cliniques. Le niveau de sécurité alimentaire des ménages et des adultes a été mesuré avec le questionnaire sur la sécurité alimentaire provenant du United States Department of Agriculture. Chez les ménages, 33,6% vivaient en insécurité alimentaire modérée et 29,1% en insécurité alimentaire sévère. La surpopulation des ménages, le niveau de scolarité, le revenu, le score du Healthy Eating Index (P≤0.001) ainsi que d'autres caractéristiques alimentaires ont été associées à l'augmentation du risque d'insécurité alimentaire.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".