Ideological and threat predictors of religious and diet-based prejudice in Canada
Bibliographic record
Abstract
There is an increasing prevalence of negative attitudes toward vegans and vegetarians in North America. Religious reasons for diet might provide a buffering effect on prejudice towards these groups (MacInnis & Hodson, 2017). In the present thesis (Study 1), the role of socio-political ideology, threat perceptions and religious identity in understanding negative attitudes towards vegans and vegetarians, was investigated. Further, as imagined contact has been found to predict tolerant outgroup attitudes (Miles & Crisp, 2014), the relationship between imagined contact and attitudes towards vegans was studied (Study 2). Study 1 (n=406) and Study 2 (n=137) were both administered to undergraduate samples. In Study 1, religious identity had no buffering effect on attitudes towards vegans/vegetarians. Participants higher on ideology and threat held less favourable attitudes towards vegans and Sikh vegans/vegetarians. In Study 2, participants who imagined interacting with vegans reported liking them more (vs. control). Implications for future research are discussed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".