Representations and Preferences of Responses to Housing and Employment Discrimination
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
In two studies, the behavioral preferences of majority (White) and visible minority (non-White) individuals in response to a hypothetical situation of discrimination were examined. In addition, the characteristics and dimensions perceived to relate to these behaviors were also examined. In the first study, 120 primarily White undergraduate students first rated the likelihood of engaging in each of 14 behaviors in response to a situation of discrimination, and then rated each behavior on a number of attributes representing key dimensions of behavior identified in intergroup theories (individual-collective; active-passive; non-normative-normative) and phenomenological studies on the experience of discrimination (e.g. risk). A multimode factor analysis of the behaviors and attributes provided a three-component solution. While the dimensions underlying these components reflected dimensions of behavior identified by intergroup theorists, they were also qualitatively different from them. Further analysis revealed that behaviors associated with higher preference ratings were perceived as more normative, preparatory, and low in cost and risk. The behavioral preferences, and the dimensions underlying these preferences were replicated in a second study, which comprised 70 Black and South Asian participants. The patterns of results were similar for the White and non-White participants, although these two groups did differ in their endorsement and ratings of some of the behaviors.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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