Bibliographic record
Abstract
It is argued in this article that Foucault’s most distinctive contribution to philosophical practice is to be found in his distinctive mode of taking up historiography, exploring critically the conditions and limits of knowledge through archival work. The focus on knowledge would seem to place him in the critical lineage of Kant; however, his appeal to history and archival explorations reconfigure the relation between sensibility and the understanding in a way that suggests a different concern with the conditions of “a possible knowledge.” After discussing how Foucault’s archival work engages a distinct sensibility, I suggest that his concern with knowledge can best be understood not within a transcendental project, however historicized, but within the logical space of Hegel’s Doctrine of the Concept, specifically the discussion of the Idea of cognition where it is a question of the twin processes of unifying subjectivity and objectivity as expressive of cognition’s “urge to truth.” Understood within this conceptual context, Foucault’s distinctive archival approach to what he calls “subjectivation” and “objectivation” allows us to appreciate the distinction between knowledge and truth in a way that leaves open the possibility of transformation.
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.009 | 0.086 |
| Scholarly communication | 0.014 | 0.023 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".