Schooling food: an examination of student food practice at a small rural university in Canada
Bibliographic record
Abstract
This thesis explores student food practices at a rural, largely residential University campus in Eastern Canada answering the research question: what are the social relations of student food practices? Using the meso- level social construct of social practice, as well as life course theory and the concept of place, qualitative research was conducted in 2015 using 12 semi-structured interviews, one focus group, and secondary analysis of qualitative comments from a campus-wide survey on student food insecurity. Results of the thematic qualitative analysis show that student food practices are in transition while at university, shaped by changing macro and micro social relations particular to place, demonstrating an example of what Bourdieu terms a 'habitus in flux.' The results also show that for many students, transitions to adulthood and the reformulation of habitus, are limited by access to economic capital realized in high rates of food insecurity while at university.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".