Assessing the moderating effects of ethical climate on the relation between social dominance orientation/right-wing authoritariansim and self-reported unethical behaviour
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
Using an anonymous self-report survey of 364 Canadian Forces Army Anglophone personnel, this study investigated the effect that ethical climate has in moderating the relations between social dominance orientation (SDO) and right-wing authoritarianism (RWA) and self-reported unethical behaviour. Ethical climate as it relates to supervisor behaviour moderated the relation between RWA and self-reported discriminatory behaviour. The nature of the interaction was such that respondents who scored low in RWA and perceived a strong supervisor climate, reported fewer instances of past discriminatory behaviour, and less likelihood that they would discriminate in the future compared with three other groups: people who were low in RWA but perceived a weak supervisor climate, and people who were high in RWA and perceived a weak or strong supervisor climate. Ethical climate as it relates to rules moderated the relation between SDO and self-reported unethical behaviour. The nature of this interaction was such that people who scored low in SDO and perceived a strong rules climate reported fewer instances of unethical behaviour in the past, or less likelihood that they would engage in unethical behaviour in the future, compared with: people who were low in SDO but perceived a weak rules climate, and people who were high in SDO and perceived a weak or strong ethical climate as it pertains to rules. These results suggest that people who score higher versus lower in SDO and RWA tend to report more unethical behaviour regardless of the situational cues relating to ethical climate. Theoretical and practical implications of these results 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it