Book Review: Gender Issues: Clinical Aspects of Sexual Harassment and Gender Discrimination. Psychological Consequences and Treatment Interventions
Bibliographic record
Abstract
money, sex, and power, so do gays and lesbians.However, no helpful role models guide them, no celebration strengthens their union, and no support is offered to help with their relationship problems.Providers are enjoined to examine their own notions of couplehood, and to be open to, and helpful with, the ways same-sex couples arrange to work together most harmoniously.Among the last 3 chapters, "Special Populations" reminds providers that there is not a common gay identity, and that experiences will vary greatly for ethnoracial minorities, the aged, the disabled, the transgendered, and the transsexual.Another chapter, "Professional and Training Issues," looks at ways that professional training might dispel myths (for example, about whether homosexuality is a sickness, a sin, or a choice).Finally, in "Legal Issues," consideration is variously given to the legal rights of gay and lesbian youth, the legal agreements between same-sex couples, the legal needs of the incapacitated, the drawing of wills, and the problems of workplace discrimination.This book is attractively laid out, accompanied by many comprehensive tables, and written with clarity and vigour.I cannot recommend it too warmly.For a vast population that has been burdened with second-class status, here is a gallant, and potentially lifesaving, advocacy. Clinical Aspects of Sexual Harassment and Gender Discrimination. Psychological Consequences and Treatment Interventions
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.053 | 0.029 |
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".