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Record W2339112746 · doi:10.1017/s0034670516000103

Madness and Political Philosophy: Beiner on Foucault

2016· article· en· W2339112746 on OpenAlexaff
Emma Planinc

Bibliographic record

VenueThe Review of Politics · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPanopticonMichel foucaultEpistemeEpistemologySoulSubject (documents)SociologyPower (physics)PoliticsEnlightenmentPhilosophyBiopowerPolitical philosophyNormativeLawPolitical science

Abstract

fetched live from OpenAlex

Beiner's discussion of Foucault is grounded in the effort to “deconstruct” Foucault's mask “as a mere historian” (152). Beiner unpacks Foucault's Panopticon of post-Enlightenment society which, in a dynamic of power/knowledge, crafts the soul in a “regime of surveillance and discipline” that “maintains the disciplined individual in his subjection” (155, 158). Beiner forcefully contends that behind Foucault's language in Discipline and Punish there must be some account of the human being that would prefer to be outside of this seemingly dystopic society—one that is entitled “ not to be subject to such a regime of normalization and control” (153). There is something disingenuous, Beiner claims, about Foucault's fidelity to the idea that “his intellectual enterprise [as a historian] requires him to disavow the normative power of his own theorizing” (164). I propose an interpretation that will perhaps rescue Foucault from Beiner's accusation of disingenuousness, and simultaneously establish a kinship between Beiner's lament for political philosophy and Foucault's own. The proposal is that Foucault is a madman.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.378
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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