Complexity of Food Preparation and Food Security Status: In Low-income Young Women
Bibliographic record
Abstract
PURPOSE: This study was conducted to explore whether preparing more complex meals was associated with higher food security status. METHODS: This mixed-methods, community-based study involved the use of semistructured interviews to examine the cooking practices of a group of young, low-income women in Montreal. Fifty participants aged 18 to 35 were recruited at 10 locations in five low-income neighbourhoods. Food security status was the main outcome measure and the main exposure variable, "complex food preparation," combined the preparation of three specific food types (soups, sauces, and baked goods) using basic ingredients. RESULTS: Low-income women preparing a variety of meals using basic ingredients at least three times a week were more than twice as likely to be food secure as were women preparing more complex meals less frequently. CONCLUSIONS: Women who prepared more complex meals more frequently had higher food security. Whether this means that preparing more complex foods results in greater food security remains unclear, as this was an exploratory study.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.002 | 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".