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Record W2601832966 · doi:10.1080/0966369x.2017.1298570

<i>Caliban and the Witch</i>and wider bodily geographies

2017· article· en· W2601832966 on OpenAlexaff
Sutapa Chattopadhyay

Bibliographic record

VenueGender Place & Culture · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPatriarchyCapitalismSociologyWitchPower (physics)Gender studiesOppressionMarxist philosophyFeminismPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Post-structuralist and feminist scholars gained new insights into bodies as ‘sites of contestation’ by exposing power’s influence on them – it is this nexus that is captured in Silvia Federici’s exhaustive analysis centering on the mysterious figure of the ‘witch’ and firmly pointing to the power of the profit-motivated, capitalist system, ever patriarchal in its repressive control of women (and their bodies), nature, and the wider society. Her work on bodies and capital emerged from the cross-fertilization of Marxist and feminist geographies that shaped the autonomist epistemology and intellectual strengths that have contested the masculinist denial of sexed, classed, racialized, illegalized, homophobic, disabled bodies and their relation to power. In the manuscript, I elaborate Federici’s analysis of women’s bodies and capital within feminist bodily geographies but also show the key lacks in leftist and radical reactions on issues around women’s oppression. Following Federici’s imperatives of capitalism, patriarchy and primitive accumulation in Europe and drawing from my field experiences in India and elsewhere, I argue that the global diffusion of capitalism to non-capitalist regions pointing towards the variations in the forms of accumulation in different places. Caliban and the Witch transcends to many feminisms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.002
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 head0.028
GPT teacher head0.290
Teacher spread0.263 · 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 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

Citations7
Published2017
Admission routes1
Has abstractyes

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