Challenges facing East Asian immigrant children in sexual abuse cases.
Bibliographic record
Abstract
Immigrants from East Asia make up 14.21% of the total number of immigrants in Canada. These families face many challenges as they acculturate to North America but, sadly, some of these children may be at risk for sexual abuse. In this position paper, we outline the ways in which East Asian children are at a particular disadvantage when considering prosecution of those who perpetrate abuse compared to Western non-immigrant children. We focus specifically on two areas of concern: 1) Cultural differences that can impact the disclosure of sexual abuse; and, 2) Language differences which reduce the chances that perpetrators will be prosecuted for sexual abuse. The consequences for East Asian immigrant youth who allege (or are suspected) that they are victims of abuse are serious. East Asian children face an uphill battle to see justice in sexual abuse cases. Thus, a significant portion of immigrant children will not see their abusers punished and, worse, the knowledge that prosecution is unlikely makes East Asian immigrant children a targeted population for those who abuse.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".