The Wretched of the Earth as Interrogation-Machine
Bibliographic record
Abstract
Taking as our point of departure the final line of Frantz Fanon’s first book, Black Skins, White Masks (1952) – ‘Oh my body, always make me a man who questions!’ – we examine how Fanon’s posthumously published The Wretched of the Earth (1961) may be treated as a kind of ‘interrogation-machine’. Rather than approach this work as either transparently expressing the intentions of its author (‘the text as body’) or as a surface sliding across meanings that can be assembled in any number of ways (‘the text as machine’), we read three key episodes in The Wretched of the Earth as posing questions in ways that exceed those the answers Fanon himself offers — a prose poem by Guinea writer Fodéba Keïta, Fanon’s treatment of the radical potential of Islam through his correspondence with Iranian sociologist Ali Shariati, and the responses of his patients to the trauma of torture. In highlighting these interlocutors (who tend to be neglected by most commentators on Fanon), we conclude that the text functions as a kind of ‘manifesto’ appealing to different audiences (in the tradition of Marx and Engels), both colonized and colonizer, and we consider how Fanon’s call for a ‘new humanism’ speaks to our own crises of virulent state-nationalism, religious fundamentalism, and institutionalized racism.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.038 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".