The psychological study of race, diversity, and culture: Foundational contributions of James M. Jones to modern theories of racism.
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 field of psychology has a history of harming racialized communities through the endorsement of scientific racism and the systematic silencing and erasure of dissenting voices. The field has a moral imperative to work collectively to create a future where the experiences, perspectives, and contributions of Black people are included and celebrated. Here, we contribute to centering Black voices by highlighting the scholarship of Professor James M. Jones, whose work on racial issues and diversity has had a profound impact. Our aim was twofold: (a) critically review foundational pieces of Jones' work and identify core themes and (b) discuss the impact of Jones' work on science and society, including areas for future research. Using various keyword strategies and in consultation with Professor Jones, we conducted exploratory and confirmatory searches using APA PsycInfo, EBSCOhost, and Google Scholar. We curated 21 pieces for review and identified six core themes: (a) racism as a universal context, (b) culture and context matter in situating historical and temporal narratives, (c) methodological limitations of psychological examinations of race, (d) doing diversity, (e) accepting divergent social realities, and (f) coping with oppression. Jones' systems-level analysis of racism provides a strong theoretical and analytical framework for the study of racial issues. Jones' impact and legacy extend far beyond the academe: as director of the Minority Fellowship Program and executive director of public interest at American Psychological Association, he has influenced generations of psychologists and paved a pathway for psychological science methods in social policy. (PsycInfo Database Record (c) 2023 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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