Bibliographic record
Abstract
This is an important topic, as all too frequently children are exposed (as a witness or recipient) to domestic violence and scars are left. This book resulted from a conference held in London, Ontario in 2001: the International Conference on Children Exposed to Domestic Violence. Nine out of twenty-eight of the contributors are from Canada with the rest from the United States. This volume is dedicated to Robbie Crossman (a contributor) who died in 2002. The book consists of fourteen chapters that touch on a variety of parameters of the subject. Part I (four chapters) introduces the problem. Part II (four chapters) focuses on individual and group responses. In Part III (five chapters) systems level responses are explicated. In the final section (one chapter) conclusions are drawn and future directions identified. It was disappointing for me to note that there was no mention of domestic violence in aboriginal families; a significant oversight. Unfortunately there hasn’t been a lot of research in this area, leading the editors to espouse that much needs to be done. Nevertheless there is evidence that children exposed to loved ones being abused show evidence of hyper arousal and emotional dysfunction. In the custody situation, it was believed that children are at less risk once the parents are living separately. Bancroft and Silverman in their excellent chapter (chapter 7 pp 101–119) provide ample evidence that this is not so. As mentioned above, there is no mention of domestic violence in aboriginal families. Rather what is described is happenings in the 18.4% of the Canadian immigrant population, with programs that have been developed to get the message across that violence is not acceptable. Mention is made of the role of the police and the courts. A review by the London group (chapter 11, pp 171–187) demonstrated that there is a need for training. In particular, in custody cases there are many unfounded assumptions (e.g. kids are safe once the parents separate; it is detrimental for kids not to have access to their fathers even though he has demonstrated abusive behaviour). Assessors and the courts need to be educated as to the realities of risk. They conclude saying that, although more is known at this time, there is still much to learn. Research is necessary and long term follow up. There are some real gems in the book but generally I found the book somewhat disappointing in that much was descriptive with little report of what research is available. I would not recommend buying this book but rather, if interested, borrow it from the library.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".