“My Child, My Choice”? Mandatory Curriculum, Sex, and the Conscience of Parents
Bibliographic record
Abstract
ABSTRACT In this essay Lauren Bialystok argues that the standard liberal defense of parental opt‐outs is inconsistent in the case of comprehensive sex education. Using the recent controversy over a new sex education curriculum in Ontario, Canada, as a case study, Bialystok examines the aims and effects of sex education and the self‐described conscience of opposing parents to reveal that children's interests may be harmed by deferring to parents' views on sexuality. The opt‐out strategy is a merely formal solution, which appears to be indifferent to both the strength of the justification for sex education and the content of the grounds on which parents oppose it. Being overly respectful of parental conscience in the case of sex education risks reproducing the illiberal paradigms that the curriculum is intended to erode, and thus subverts its own liberal intentions. Bialystok concludes by suggesting ways of honoring parents' right to involvement in their children's education while delivering a mandatory curriculum.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".