The Domestic Foodscapes of Young Low-Income Women in Montreal: Cooking Practices in the Context of an Increasingly Processed Food Supply
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the course of the past century, the quantity of prepackaged, pre-prepared foods available in the North American context has increased dramatically. This study examines the shifts in food practices that are taking place through an exploration of the day-to-day cooking practices of a group of young, low-income women in Montreal and considers how these contribute to health problems such as obesity and nutritional deficiencies in addition to health inequalities within populations. The participatory study uses data from five focus groups with a total of 22 participants to contribute to our understanding of how social and physical food environments (the "foodscape") shape daily food and cooking practices. Aspects of these environments that were discussed include household roles and responsibilities that require complex management, personal food choice and skill, as well as health, learning, and access to food.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it