“Hungry for an Education”: Prevalence and Outcomes of Food Insecurity Among Students at a Primarily Undergraduate University in Rural Nova Scotia
Bibliographic record
Abstract
This paper reports on food insecurity among students attending a university in rural Nova Scotia. In 2015, 1,030 students completed an online, 38-item cross-sectional survey. The results report that 38.1% of students experienced food insecurity during the previous 12 months. Food insecurity was statistically associated with living arrangements, source of funds for schooling, meal plans, and year of study. Poor overall health, poor mental health, high stress, and poor academic performance were significantly higher for food-insecure students. Students employed multiple coping strategies, with implications for academic success and long-term debt. Qualitative analysis revealed four themes related to insufficient money for food: inability to cover basic needs, health-related outcomes of persistent worry, loss of time from learning, and impacts on social life. This research demonstrates the need to re-evaluate funding policies for post-secondary education in Canada to ensure students can afford the costs of basic needs and educational costs.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".