Toward an Effective Workplace Response to Intimate Partner Violence
Bibliographic record
Abstract
This qualitative study adds to the relatively small body of research on the workplace impact of intimate partner violence (IPV), provides further insight into the various ways that IPV impacts survivors at work, and offers recommendations for improving the workplace response to IPV. Twenty-seven participants (survivors of IPV, workers, managers, union employees, and human resources professionals) took part in focus groups or one-on-one interviews. Three themes emerged from the data: the workplace impact of IPV, interventions in the workplace, and IPV policy suggestions for organizations. Recommendations for improving workplace response to IPV are offered, including legislative and policy changes, workplace leaves, and workplace accommodations for workers impacted by IPV. Findings illustrate the need for workplace training and information on how to recognize IPV, how to respond, and referral sources. This article offers suggestions of steps that workplaces can take to support employees who experience IPV as well as improving workplace safety, functionality, and productivity.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".