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Record W1536657630 · doi:10.22439/fs.v0i9.3062

Postcolonial Studies and the Discourse of Foucault: Survey of a Field of Problematization

2010· article· en· W1536657630 on OpenAlexaff
Robert Nichols

Bibliographic record

VenueFoucault Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsProblematizationField (mathematics)Interpretation (philosophy)SociologyEpistemologyMichel foucaultPostcolonialism (international relations)PoliticsPhilosophySocial scienceLinguisticsLawPolitical science

Abstract

fetched live from OpenAlex

This paper presents a critical survey of the use and interpretation of the work of Michel Foucault in the field of postcolonial studies. The paper uses debates about Foucault’s legacy and his contributions (or lack thereof) to postcolonialism as a means of parsing out the main lines of contestation within the field—that is, as a means of tracing the contours of the space of questioning or field of problematization, in part to foreground what has been at stake and, more to the point, what has not been at stake. Part I provides a general survey of what “Postcolonial Studies” is: what its major questions and debates have been. Part II examines the ways in which Foucault has been taken up, interpreted and used within the field, and Part III comments on what aspects of Foucault’s work have not been taken up, suggesting that this is most revealing about the state of postcolonial studies today.

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)0.027
metaresearch head score (Gemma)0.029
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: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.029
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.011
Science and technology studies0.0140.095
Scholarly communication0.0150.013
Open science0.0020.006
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.068
GPT teacher head0.450
Teacher spread0.382 · 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
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

Citations82
Published2010
Admission routes1
Has abstractyes

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