Mental Health of Students Reporting Food Insecurity during the Transition to University
Bibliographic record
Abstract
Purpose: The present study examined differences in mental health and well-being between students with and without suspected food insecurity during their transition to university. Methods: We drew on existing data from 4 samples of first-year undergraduates enrolled at 3 large universities in 3 provinces (Alberta n = 199, Québec n = 299, and Ontario n = 461 and n = 510). Students completed online surveys assessing a wide range of health-related behaviours and indicators, and students were classified as food secure or insecure based on their responses to screening questions. Results: Mental health (depression, anxiety, low satisfaction with life) was consistently poorer in students classified as food insecure across all samples. The magnitude of mental health deficit was comparable to socioeconomic disadvantage associated with food insecurity. Conclusions: Students experiencing food insecurity are disproportionately launching their university careers with poorer mental health, revealing a critical point of intervention for these socioeconomically higher-risk students.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".