EQAO Standardized Examinations: An Inequitable Measure of Academic Success for Food Insecure Students
Bibliographic record
Abstract
Abstract In Canada, food insecurity is characterized by the consumption of low quantity or low-quality foods, worrying about food supply and/or acquiring foods in socially unacceptable ways, such as begging or scavenging. As of 2012, approximately 15.2% of Ontario, Canada, children are living in food insecure households, a prevalence which has remained steady since 2005. This is particularly concerning when considering that school-aged children are a population whose growth and developing is sensitive to nutritional stress, and the experience of childhood food insecurity is highly associated with the development of adverse physical, mental and learning outcomes. This study aims at establishing the relationship between food insecurity and Education Quality and Accountability Office (EQAO) standardized test scores in order to highlight the incompatibility of the EQAO's reliance on test outcomes in determining Ontarian school's accountability, specifically for those with a high prevalence of food insecurity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".