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Record W606755640

Violence and exploitation against women and girls

2006· book· en· W606755640 on OpenAlexaboutno aff
Florence L. Denmark

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violenceSexual violencePsychologyGender studiesHarassmentCriminologyPoison controlSociologySuicide preventionSocial psychologyMedicineMedical emergency
DOInot available

Abstract

fetched live from OpenAlex

Preface: Joy K. Rice. Part I: Conceptualizing Violence and Exploitation Against Females:. 1. The History of Violence: Barbara Welter. 2. Theories of Violence: Herbert Krauss. Part II: Violence Against Girls, Adolescents, and Young Women:. 3. Sexual Aggression Towards Women: Reducing the Prevalence: Gwendolyn L. Gerber, Lindsay Cherniski. 4. Adolescent Girls Speak About Violence in their Community: Roseanne Flores. 5. Who Wins in the Status Games? Violence, Sexual Violence, and an Emerging Single Standard Among Adolescent Women: Beatrice Krauss. 6. Cyber Violence Against Adolescent Girls: June Chisholm. 7. Early Violence Prevention Programs: Implications for Violence Prevention Against Girls and Women: Barbara Mowder, Michelle Guttman, Anastasia Yasik. 8. International Perspectives on Sexual Harassment of College Students: The Sounds of Silence Michele Paludi, Eros DeSouza, Liesl Nydegger, Rudy Nydegger, Sarah Bennett. Part III: Violence Against Women:. 9. Intimate Partner Violence: New Directions: Irene Frieze, Maureen McHugh. 10. Battered Women Syndrome: Empirical Findings: Lenore Walker. 11. Aging Women and Violence: Margot Nadien. 12. Violence and Exploitation against Girls and Women with Disabilities: Daniel Rosen. 13. Violence Against Pregnant Women in Northwestern Ontario: Josephine Tan, Kate Gregor. 14. Intimate Violence against Women and Unwanted Pregnancy: Nancy Russo, Angela Pirlott. 15. Re-Victimization of Rape Victims by the Criminal Justice System: Mary P. Koss. 16. Violence against Women as a Public Health Issue: Joan Chrisler, Sheila Ferguson. Part IV: Cultural and International Perspectives on Violence Against Women:. 17. Cultural Beliefs and Domestic Violence: Madeline Fernandez. 18. Violence Against Adolescents and Women in Mexico: Conceptualization and Program Application: Susan Pick. 19. Domestic Violence in the Chinese and South Asian Immigrant Communities: Elizabeth Midlarsky, Anitha A. Kothari, Maura Plante. 20. Domestic Violence in Israel: Changing Attitudes: Varda Muhlbauer. 21. An Exploration of Female Genital Mutilation Erika Baron, Florence L. Denmark. 22. International Sexual Harassment: Janet Sigal. 23. United Nations Measures to Stop Violence Against Women: Eva Sandis. Epilogue: Vita Rabinowitz. Index of Contributors

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0540.020

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.

Opus teacher head0.010
GPT teacher head0.259
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations19
Published2006
Admission routes1
Has abstractyes

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