Reporting Child Exposure to Domestic Violence: Pre-Service Teachers’ Attitudes and Behaviours
Bibliographic record
Abstract
The present study examined pre-service teachers’ attitudes and behaviours toward reporting child exposure to domestic violence. Domestic violence exposure is defined as being within sight or sound of violence (Edleson et al., 2007). Due to their daily contact, teachers are in a unique position of being able to recognize children who are exposed to domestic violence, as they are amongst the first individuals to recognize warning signs and changes in behaviour including appearance, attitude, and academic performance (Byrne & Taylor, 2007). A sample of 190 University of Western Ontario Bachelor of Education students completed a questionnaire measuring attitudes and beliefs toward domestic violence, as well as intervention intentions in cases of child exposure to domestic violence. The present study evaluated the questionnaire by focusing on four major components: (1) pre-service teachers’ underlying attitudes toward violence against women, (2) the behaviours pre-service teachers consider to constitute as domestic violence, and how serious they believe them to be, (3) pre-service teachers’ likelihood to intervene in cases of suspected child exposure to domestic violence, and the avenues through which they respond to such cases, and (4) the influence of past experiences on pre-service teachers’ reporting 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".