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Record W2981791605 · doi:10.1177/1532708619880218

Sylvia Wynter: Science Studies and Posthumanism as Praxes of Being Human

2019· article· en· W2981791605 on OpenAlexaff
Jennifer D. Adams, Matthew Weinstein

Bibliographic record

VenueCulture Studies &#x2194 Critical Methodologies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHumanityObjectificationScholarshipIdeologyPosthumanismSociologyEpistemologyScience studiesAestheticsSocial sciencePhilosophyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Through dialogue, this article explores the works of Sylvia Wynter to elicit some implications for science studies. In particular, we explore her analysis of the ideological construction of Man as the paradigm for humanity and how this structures the Othering or exclusion of non-White-cis-straight-men from the definition of human in the extant Western Colonial period. We also explore the ways such ideologies find expression in the logics of some central work of science studies. We discuss the ways her oeuvre articulates with science studies, especially research conducted from a postcolonial frame, especially in her notion of a “new science” or scientia. The article also explores her notion of the “pieza,” the standardized black body of the slave trade, in relation to theories of objectivity and objectification. Finally, the dialogue considers the need to start with the writing, thinking, and scholarship of those writing from positions of exclusion, in struggle for liberation, and freedom, to recover the human within science studies.

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.038
Scholarly communication0.0070.014
Open science0.0010.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.214
GPT teacher head0.520
Teacher spread0.306 · 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.

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

Citations14
Published2019
Admission routes1
Has abstractyes

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