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Record W2165895548 · doi:10.1177/0263276406069233

Flânerie for Cyborgs

2006· article· en· W2165895548 on OpenAlexaff
Rob Shields

Bibliographic record

VenueTheory Culture & Society · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsManifestoEnlightenmentPoliticsSociologySubject (documents)AestheticsSpace (punctuation)SpatializationArtPolitical sciencePhilosophyEpistemologyAnthropologyLaw

Abstract

fetched live from OpenAlex

As a literary figure or conceit, Haraway’s cyborg is kin to Dumas’ and Balzac’s flâneur. As a social science fiction, crossing and mixing categories, the cyborg is an abject quasi-body who does not fit the Enlightenment model of the political subject and actor. The ‘Manifesto’ has a geography of sites - Home, Market, Paid Work Place, State, School, Clinic-Hospital and Church - which this article updates and to which it adds the Body and the Web. However, Haraway’s ‘cyborg-analysis’ directs attention to the nanotechnological scale of biotechnology. The spatialization implied in the ‘Manifesto’ is more like a surface, a site of regeneration, not a space of the body or of rebirth or the space of institutions such as the Market or School. The cyborg cannot be an Enlightenment political actor, but challenges the traditions, scale and space of the public sphere even as she carries ethical qualities and potentials for less normative forms of politics.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.010
Scholarly communication0.0090.009
Open science0.0010.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0340.010

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 head0.018
GPT teacher head0.309
Teacher spread0.291 · 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 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

Citations26
Published2006
Admission routes1
Has abstractyes

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