Parental alienating behaviors: An unacknowledged form of family violence.
Bibliographic record
Abstract
Despite affecting millions of families around the world, parental alienation has been largely unacknowledged or denied by legal and health professionals as a form of family violence. This complex form of aggression entails a parental figure engaging in the long-term use of a variety of aggressive behaviors to harm the relationship between their child and another parental figure, and/or to hurt the other parental figure directly because of their relationship with their child. Like other forms of family violence, parental alienation has serious and negative consequences for family members, yet victims are often blamed for their experience. In order to be recognized as a form of family violence and to secure protection for victims under law and social policies, a formal review and comparison of parental alienating behaviors and outcomes to child abuse and intimate partner violence has been sorely needed. The result of this review highlights how the societal denial of parental alienation has been like the historical social and political denial or other forms of abuse in many parts of the world (e.g., child abuse a century ago). Reframing parental alienating behaviors as a form of family violence also serves as a desperate call to action for social scientists to focus more theoretical and empirical attention to this topic. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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 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".