Does the Situational Couple Violence- Intimate Terrorism Typology Explain Cohabitors’ High Risk of Intimate Partner Violence?
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
This study examines M. P. Johnson's assertion that violence in marital unions is more likely to be intimate terrorism (IT) and violence in cohabiting unions is more likely to be situational couple violence (SCV). Having overcome limitations of the data on which Johnson based his assertion, the results show that cohabiting and married victims of violence are equally likely to report experiencing SCV and IT. Moreover, cohabitors have higher odds of experiencing SCV and IT compared to their counterparts living in a marital union. These marital status differences are explained by selection and relationship factors theorized to account for them. Although the SCV- IT typology does appear to shed light on gender differences, the results of this study suggest that, where relevant, researchers using this typology should not neglect risk factors derived from theories for understanding intimate partner violence (IPV).
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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