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Record W2797170603 · doi:10.3138/topia.16.69

Robots, Transduction, <i>Dingpolitik</i>: Cynthia Breazeal’s Kismet and the Social Life of a Thing

2006· article· en· W2797170603 on OpenAlexvenueno aff

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2006
Typearticle
Languageen
FieldPsychology
TopicSocial Robot Interaction and HRI
Canadian institutionsnot available
Fundersnot available
KeywordsEmbodied cognitionFace (sociological concept)SociologyObject (grammar)Variety (cybernetics)Cognitive scienceEpistemologyPsychologyComputer scienceSocial scienceArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

If there is one institution whose most serious undertaking is shaping the “face of the future,” it is the Massachusetts Institute of Technology. Working out of MIT’s AI Lab at the turn of this century, Cynthia Breazeal created Kismet, a robotic head designed to be “sociable,” capable of interacting with humans in an embodied, affective manner. Following Bruno Latour’s recent notion of “Dingpolitik” and Adrian Mackenzie’s formulation of the concept of transduction, this article examines Kismet, not simply as an object of high-technology, but instead as a highly socialized, politically alive thing carrying a variety of—perhaps uncanny—cultural meanings for the face(s) of a future between humans and nonhumans.

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)0.001
metaresearch head score (Gemma)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.024
Scholarly communication0.0050.007
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.050
GPT teacher head0.353
Teacher spread0.303 · 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 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

Citations2
Published2006
Admission routes1
Has abstractyes

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