Beyond Black and White: Conceptualizing and essentializing Black–White identity.
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
OBJECTIVE: White) and whether essentialism is indeed negatively associated with such concepts. METHOD: We used multiple methodologies (e.g., surveys, open-ended explanations, experimental manipulations) to examine how Black, White, and Black-White perceivers conceptualized Black-White individuals (Studies 1-3) and the extent to which essentialist beliefs, both dispositional (Studies 2-3) and experimentally induced (Study 4), predicted those concepts. RESULTS: of Black and White (Study 1), as did U.S. White individuals and U.S. Black individuals (Studies 2 and 3), and that racial essentialism-both dispositional (Studies 2 and 3) and experimentally manipulated (Study 4)-was positively associated with this conception. CONCLUSION: Our data shed new light on the complexity of race concepts and essentialism and advance the psychological understanding of Black-White identity. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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