Blatant Dehumanization is Not Influenced by Dual Identity Labels: Evidence from the Canadian Context
Bibliographic record
Abstract
Blatant dehumanization has been shown to be prevalent in modern society. However, little work has explored the possible ways in which blatant dehumanization may be attenuated. The current study addresses this gap in the literature by exploring if activating a dual identity attenuates (or even erases) blatant dehumanization. To investigate these issues, Canadian participants completed the “Ascent of Man” scale, rating various groups in terms of their perceived evolutionary qualities. Half of our participants saw labels with the qualifier “-Canadians” attached, while the other half saw no such qualifier. Results showed that, regardless of whether the “-Canadians” label was provided, participants rated Filipinos, Christians, Arabs, Muslims, and Indigenous groups as significantly lower than Whites on the evolution scale. As such, provision of the additional group label “-Canadians” did not influence the manifestation of blatant dehumanization. We also found that ratings on the evolution scale significantly correlated with both Social Dominance Orientation and Empathic Concern levels, such that stronger adherence to current power structures and social hierarchies showed stronger blatant dehumanization, while those with a high pre-disposition for altruistic behaviours and emotions showed weaker blatant dehumanization. We discuss our results in the light of other research on blatant dehumanization and intergroup processes.  
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".