Book Review of Wexler & Sweet's #MeToo-Informed Therapy: Counseling Approaches for Men, Women, and Couples
Bibliographic record
Abstract
The #MeToo movement was an important cultural phenomenon that called on men to take accountability for their harmful behaviours, such as violating boundaries, engaging in sexual harassment, and committing sexual assaults. It was also an opportunity to validate survivors’ experiences and to unite men and women together as allies. However, #MeToo-type behaviours still occur today and many women are deeply affected by the harmful actions of men. This book was written as a clinical resource for counsellors working with men, women, and couples involved in or affected by #MeToo behaviours. This essential read covers the history of the #MeToo movement, explores gender norms, and suggests clinical strategies for intervention. By adding this book to their clinical library, counsellors will enrich their repertoire of skills for working with men who have offended, empowering female clients, and supporting couples affected by #MeToo behaviours.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.009 |
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".