How do Student Clients of a University-based Food Bank Cope with Food Insecurity?
Bibliographic record
Abstract
PURPOSE: To describe the food security status, food insecurity coping strategies, characteristics, and experiences of student clients of the Campus Food Bank (CFB) at the University of Alberta in Edmonton, Alberta, Canada. METHODS: A convenience sample of 58 students completed a survey from April 2013 to April 2014. Food security status was determined using the "Adult Food Security Survey Module". RESULTS: Ninety percent of CFB student clients who participated in this study were food insecure, which included both moderately and severely food insecure groups. The most prevalent coping strategies for food insecurity included applying for a loan or bursary (86.2%), seeking employment or working more hours (84.5%), and purchasing food using a credit card (77.6%). Participants were a diverse mix of students, including graduate students (50.0%), international students (46.6%), and caregivers of children (24.1%). The most common primary sources of income were government student loans (29.3%) and research assistantships (20.7%). Most participants (82.8%) liked the food they received from the food bank. CONCLUSIONS: Food insecurity is highly prevalent among student clients of this university-based food bank. Students used a variety of coping strategies to increase their disposable income, highlighting the need for additional strategies to alleviate food insecurity among vulnerable students.
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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 | 0.003 |
| 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 | 0.000 |
| 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".