Disrupting Notions of 'Choice': Missteps in Ontario’s COVID-19 Back-to-School Plan
Bibliographic record
Abstract
When schools shut down in Ontario during the COVID-19 Pandemic, many voices chimed in to discuss where children should be. However, children’s voices were largely missing from these discussions by virtue of being excluded by those in charge. Under the United Nations Convention on the Rights of the Child (1989), children are granted the right to express themselves, have that expression be taken seriously, and to be given information on matters that concern them. By conducting an analysis of the Ontario Government’s Back-to-School Plan and announcements, I argue that the developmental and economic framing of the decision to return to school denied children their expression rights guaranteed under the UN-CRC. The Ontario Government missed a vital opportunity to value children as full human beings with integral experiences. I conclude by arguing that it is imperative that the Government commits to using a rights-respecting approach to all policy and programming with potential to impact children or childhood.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.039 | 0.050 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".