Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
About half of the women in the United States and Canada have been physically or sexually assaulted after the age of 16. The figures in other countries are similar. Written by an outsider (an anthropologist) and an insider (a spousal abuse survivor), this book offers a humanistic, rather than statistical, overview of the problem of spousal abuse. It is based on an extensive set of interviews with abused women and individuals who seek to help them (shelter workers, police officers, marriage counselors). More particularly, it follows four women as they move through the steps they must follow to extricate themselves from an abusive relationship and then get on with their lives. The reader witnesses their success and failures as they face a task that is both necessary and daunting, and the effects that spousal abuse (and at attempts stopping the abuse) have on an ever-widening circle of people. This book illustrates how society in general and individuals and organizations in particular help and hinder the process of extrication - often at the same time. By analyzing the solutions, and their implications, that have been offered to and by the abused women, the authors arrive at a set of alternative solutions that could significantly reduce the incidence of spouse abuse in the future.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 it