Bibliographic record
Abstract
Abstract Racism is inscribed onto the mind of the racialized subject. This essay represents my attempt at making sense of the psychological costs levied by the racism that materializes from living in a culture of hegemonic whiteness. My analysis is informed by Frantz Fanon's writings and, particularly, his concept of corporeal malediction. Corporeal malediction captures the unique reality of the racialized subject—one that is different from the systemic discrimination and violence encountered by other socially disenfranchised groups. Theoretically framed by Fanon's “postcolonial” thought, and anecdotally informed by my own experiences as well as my past research on race and racism in organizations, I pose the question: What is the real perversity of racism? I argue that the real perversity of racism is to be found in the psychological damage that it poses on the ontology of the racialized subject. This psychological damage on the racialized subject unfolds through myriad trajectories, three of which I identify in this essay: (1) the (dis)coloring of social reality, (2) the impossibility of assimilation, and (3) the hybrid identity problematic. While management and organization studies researchers have expended much energy in unraveling the institutional and the organizational paths through which racism is enacted, there has been a dearth of scholarly research on its devastating impact on the psychology of the individual. This essay aims to flesh out this corporeal phenomenon.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.042 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".