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Governmentality

2006· article· en· W4245285958 on OpenAlexaff
Nikolas Rose, Pat O’Malley, Mariana Valverde

Bibliographic record

VenueAnnual Review of Law and Social Science · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of TorontoCarleton University
Fundersnot available
KeywordsGovernmentalitySociologyMichel foucaultGovernment (linguistics)PoliticsThe artsCreativityPerspective (graphical)Power (physics)Corporate governanceAnalyticsEpistemologySocial sciencePolitical scienceLawEconomicsManagementPhilosophy

Abstract

fetched live from OpenAlex

▪ Abstract This review surveys the development of Michel Foucault's analysis of political power in terms of governmentality and outlines its key characteristics. It examines the spread of this perspective, focusing in particular on how this genealogical approach to the analysis of the conduct of each and of all has been taken up and developed in the English-speaking world. It evaluates some of the key criticisms that have been made of the analytics of governmentality and argues for the continuing productivity and creativity of these ways of analyzing the emergence, nature, and consequences of the arts of government.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.018
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.021
GPT teacher head0.369
Teacher spread0.349 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations988
Published2006
Admission routes1
Has abstractyes

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