"Don't blame me for what my ancestors did!" : factors associated with the experience of collective guilt regarding aboriginal people
Bibliographic record
Abstract
Egalitarianism is highly valued in Canada and yet some groups are profoundly disadvantaged. This can be explained by sociological and psychological theorizing that claims advantaged group members are motivated to maintain a system of inequality from which they benefit. The challenge is to explain the few advantaged group members who defy self-interest and support disadvantaged groups. My research objectives were to understand what motivates selected advantaged group members to support disadvantaged groups, and to understand how the majority of advantaged group members maintain their belief in egalitarianism in the face of clear social inequality. Results revealed that most advantaged group members value egalitarianism highly, but only those who define egalitarianism in terms of social responsibility unequivocally support the interests of disadvantaged groups. Most advantaged group members conceive egalitarianism in terms of equality of opportunity, rights or treatment, allowing them to legitimize inequality; consequently, they are less willing to sympathize with the demands for fair treatment by disadvantaged group.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| 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".