Bibliographic record
Abstract
ABSTRACT The lasting influence of Michel Foucault's work is both instantly recognizable in that his very name can be invoked as a noun or adjective (“Foucauldian”), as a critical stance or attitude without further elaboration, and yet his signature concepts have been flattened, stretched, exaggerated, and thinned as they have been applied by his most enthusiastic followers. Although Foucault has entered the canon of philosophers, he also became iconic, most notably with the typographic icon, power/knowledge, a (possibly unwanted) achievement of recognition and compression virtually unknown to other philosophers. In this essay, I consider the Foucault of the philosophical canon, and I trace some of the main routes of the iconic Foucault into acceptance or nonacceptance by the academic disciplines, notably history and anthropology, and numerous other unexpected venues where variants of Foucault's ideas have found surprising homes. I also contemplate the meaning of the status of “iconicity” as it has been analyzed by sociologists, and the possibility that iconic misreadings of Foucault's concepts have been extraordinarily “good to think with” by his critics.
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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.077 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| 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".