Student food insecurity at the University of Manitoba
Bibliographic record
Abstract
While rates of food insecurity among various sectors of Canadian population are well documented, food security among post-secondary students as a particularly vulnerable population has emerged in recent years as an area of research. Based on a survey of 548 students in the 2015/16 school year, this article examines the extent of food insecurity among a population of undergraduate and graduate students at the University of Manitoba. Our study reveals that 35.3% of survey respondents face food insecurity. 23.5% of these students experience moderate food insecurity, while 11.8% are severely food insecurity. Using chi-square tests and regression analysis, we compare these rates with various demographic indicators to assess which students are at greater risk of food insecurity, factors contributing to food insecurity, and its effect on their student experience, their health and their lives in general. In contemplating funding for post-secondary institutions and increases in tuition fees, provincial governments need to consider how this will affect student food security
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".