<i>Food Insecurity in University Students</i> Receiving Financial Aid
Bibliographic record
Abstract
PURPOSE: To evaluate the adequacy of loans funding and the risk for food insecurity in students living away from home and receiving loans at the University of Alberta. METHODS: A nutritious seven-day menu was developed. The menu was priced for skilled and unskilled shoppers at a grocery store near to campus and a discount-style grocery store further away. RESULTS: The menu was more costly for males, unskilled shoppers and those students who shopped near to campus. The menu cost was as high as $296/month and often exceeded the $196 allocated by the Canada Student Loans Program for food each month. CONCLUSIONS: Based on the findings from this study, students reliant on financial assistance likely have insufficient money for a nutritionally adequate diet and are at risk for food insecurity. Shopping skills and budgeting, while important, would be insufficient to alleviate food insecurity for many students who require financial aid. Increased funding for food in student loans is necessary.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".