Protecting Children from Domestic Violence: Strategies for Community Intervention <i>Edited by Peter G. Jaffe, Linda L. Baker, and Alison J. Cunningham</i> New York: The Guilford Press
Bibliographic record
Abstract
This book provides an excellent overview of what we currently know about the effects of domestic violence on children.As the authors point out, the impact on children of this tragic phenomenon is a subject that, even in such a young field as the study of domestic violence, is late to be explored.They show that early misassumptions were made in the field, blinding professionals who help children to the harm caused by domestic violence.The book is composed of contributions, many of them collaborative, by leading North American researchers and practitioners in the field.It grew out of the 2001 International Conference on Children Exposed to Domestic Violence, held in London, Ontario.The volume is edited by a trio from the host organization, The Centre for Children and Families in the Justice System at the London Family Court Clinic.The contents of the book are divided into four overarching sections."Part I: Introduction to the Problem" aims a spotlight on the critical issues for professionals in intervening to help children exposed to woman abuse."Part II: Individual-and Group-Level Responses" offers a summary of current thinking on intervention with adult victims and perpetrators."Part III: System-Level Responses" explores current responses of the justice system and human services to support children."Part IV: Conclusions" reviews the research findings described in the previous sections and points the way to promising practices and to topics that urgently need additional study.In the opening chapter, "Purpose and Overview," the editors outline the work to be presented.They state that the goal of the volume is "to [expand] our understanding and community collaboration in responding to children and their parents in homes where domestic violence takes place" (p.4).The editors identify three themes: the need to end domestic violence, the need to intervene and provide help both to children and to adult victims and perpetrators in their families, and the search for "promising practices" (in a knowledge base described as still too incomplete to offer "best practices") that may help children.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".