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Record W3038442862 · doi:10.15353/cjds.v9i1.600

“Hap Walk”: A Reading of Living a Feminist Life by Sara Ahmed and “Docile Bodies” in Discipline and Punish by Michel Foucault

2020· article· en· W3038442862 on OpenAlexaffvenue
Patricia Ki

Bibliographic record

VenueCanadian Journal of Disability Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsYork University
Fundersnot available
KeywordsPower (physics)DisciplineSociologyMichel foucaultThe ImaginaryReading (process)AestheticsFace (sociological concept)Gender studiesEpistemologyPsychoanalysisPoliticsPhilosophySocial scienceLawPsychologyPolitical science

Abstract

fetched live from OpenAlex


 
 
 This paper grew from the imagining that Sara Ahmed and Michel Foucault, both influential scholars in my ever-developing understanding of the world, met face-to-face one ordinary day, discussed their ideas, responded to each other’s queries, reflected on historical and ongoing social injustices, and shared hopeful imaginings for the future. In this imaginary account, through the form of dialogues, I compare, contrast, and examine concepts in Foucault’s and Ahmed’s works—specifically, the chapter “Docile Bodies” in Discipline and Punish, published in 1977, and the book Living a Feminist Life, published 40 years later in 2017.1 Following Ahmed, I use path, walls, and tables as both metaphors and material effects of disciplinary power to link theorizations from the two texts regarding the embodiment of discipline, through which white, capitalist, and heteropatriarchal norms persist. Further, I ask questions of Foucault’s text about the seeming invisibility of women and disabled people in its discussion of docile bodies and disciplinary power and echo other feminist scholars in arguing that it is through the perspectives and experiences of those who have been cast out of belonging and rendered invisible that we may find the means to expose the most cemented and hidden structures and techniques of domination and to imagine forms of resistance and subversions that point to a different future. For the purpose of clarity, direct quotes from Ahmed’s and Foucault’s texts are italicized within the dialogues, accompanied by in-text citations.
 
 

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)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.053
GPT teacher head0.341
Teacher spread0.287 · 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.

Study designQualitative
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
Published2020
Admission routes2
Has abstractyes

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