The influence of sexual harassment frequency and perceptions of organizational justice on victim responses to sexual harassment
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
Organizational justice theory was used to understand the conditions that influence how women respond when sexually harassed. Specifically, this study examined whether sexual harassment frequency interacts with perceptions of four types of organizational justice (procedural, distributive, interpersonal, and informational) to predict two types of victim responses (confrontation and reporting). With data collected from 257 female employees, it was found that the interaction between sexual harassment frequency and perceptions of distributive justice and the interaction between sexual harassment frequency and perceptions of procedural justice predicted reporting, whereas the interaction between sexual frequency and perceptions of distributive justice predicted confrontation. The interaction between sexual harassment frequency and perceptions of informational justice predicted both confrontation and reporting. Implications for organizations are discussed.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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