When seeing stigma creates paternalism: Learning about disadvantage leads to perceptions of incompetence
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
The present research examines the conditions under which educating non-stigmatized individuals about the experiences of members of stigmatized groups leads to paternalistic or more respectful views of the target. We propose that when these efforts ask members of non-stigmatized groups to focus only on the difficulties experienced by stigmatized targets, they will lead to more paternalistic views of targets because they portray targets as being in need of help. In contrast, we propose that when these efforts take a broader focus on stigmatized targets and include their resilience in the face of their difficulties, they will lead to more respectful views of targets. Four studies supported these predictions. Across studies, White participants who focused only on a Black target's difficulties subsequently perceived the target as more helpless and less competent than controls. Participants who focused on the target's resilience in the face of difficulties perceived him as more competent.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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