Racial Microaggressions: Critical Questions, State of the Science, and New Directions
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
Racial microaggressions are an insidious form of racism with devastating mental-health outcomes, but the concept has not been embraced by all scholars. This article provides an overview of new scholarship on racial microaggressions from an array of diverse scholars in psychology, education, and philosophy, with a focus on new ways to define, conceptualize, and categorize racial microaggressions. Racism, along with its many forms and manifestations, is defined and clarified, drawing attention to the linkages between racial microaggressions and systemic racism. Importantly, the developmental entry points leading to the inception of racial bias in children are discussed. Theoretical issues are explored, including the measurement of intersectional microaggressions and the power dynamics underpinning arguments designed to discredit the nature of racial microaggressions. Also described are the very real harms caused by racial microaggressions, with new frameworks for measurement and intervention. These articles reorient the field to this pertinent and pervasive problem and pave the way for action-based responses and interventions. The next step in the research must be to develop interventions to remedy the harms caused by microaggressions on victims. Further, psychology must make a fervent effort to root out racism that prevents scholarship on these topics from advancing.
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 | 0.005 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.007 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 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