Masking and Unmasking the Sexual Abuse of Children: Perceptions of Violence Against Children in “the Badlands” of Ontario, 1916-1930
Bibliographic record
Abstract
This article explores the legal and social understandings of incest in early-twentieth-century Canada, examining the way in which sexual abuse was identified in sensational court cases but ideologically masked in social consciousness. First, the legal treatment of incest is examined through court cases, with special focus on one case that animated a grand jury report on a rural area where incest and violence supposedly flourished. Second, the grand jury's legal, medical, and social assumptions about incest, reflecting eugenic priorities as well as class and gender prejudices, are surveyed. Third, the actual use of the grand jury report in subsequent cases is probed. The report became a generalized explanation for all kinds of familial violence placing blame for violence on poor, degenerate, and immoral parents but ignoring the structural problems of power and patriachy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".