Bibliographic record
Abstract
Abstract The article argues for the renewed relevance of Foucault's early essays on literature, written throughout the 1960s, given a return to anthropological reflection in so much literary theory today (especially through affect theory and “new” phenomenologies—both of which rely on older categories supplied by psychoanalysis). On one hand, Foucault reminds us of all the “warped and twisted forms of reflection” that arise from anthropological thought, with its assumptions regarding the “unthought” and the hidden structures of sense and perception. This same Foucault, on the other hand, is deeply engaged with literature; his writings on a range of authors—from Homer and Cervantes, to Friedrich Hölderlin and the Marquis de Sade, to Georges Bataille and Maurice Blanchot—constitute nothing less than an oeuvre. And yet, despite proposals to move beyond Foucauldian critique and its orthodoxy in literary studies today, hardly anything has been thought or said about this body of work in which Foucault, as David Carroll points out, “has the most to say about literature and language.” This lacuna is all the more surprising, since Foucault's early essays offer a rich and fruitful understanding of the being of literature as more than a limpid reflection of the body. In his reading of Bataille and Blanchot in particular, Foucault offers a unique vision of literature that is neither suspicious nor negative but that, in connection with his well-known critique of finitude, culminates in a hopeful call for openness.
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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 | 0.026 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.013 | 0.080 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.015 | 0.018 |
| Insufficient payload (model declined to judge) | 0.003 | 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".