Relationship Between Food Insecurity and Healthy Eating Behavior for Gestational Diabetes Risk Reduction Among American Indian and Alaska Native Adolescent and Young Adult Females: A Qualitative Exploration
Bibliographic record
Abstract
OBJECTIVE: To understand the perspectives of key informant experts regarding the relationship between food insecurity and gestational diabetes mellitus risk reduction behaviors among young American Indian and Alaska Native females. METHODS: Participants were adult key informants with expertise in food/nutrition and health within Tribal communities (N = 58) across the US. Data were collected through 1:1 interviews using a semistructured moderator guide and analyzed using thematic content analysis methods. RESULTS: Three themes included (1) diet and nutrition habits are formed through intergenerational food preferences and are driven by lasting implications of colonization; (2) young people are influenced by what their peers eat and the food environment, including outside of the home; and (3) the methods used to understand household food insecurity and nutrition habits in the parent study were likely limited. CONCLUSIONS AND IMPLICATIONS: Findings provide guidance as to where nutrition education and interventions may best support young Native females.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".