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Record W2471596990 · doi:10.1111/aman.12517

Tactics and Tactility: A Sensory Semiotics of Handshakes in Coastal Kenya

2016· article· en· W2471596990 on OpenAlexaff
Sarah Hillewaert

Bibliographic record

VenueAmerican Anthropologist · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHandshakeEmbodied cognitionNegotiationEthnographyMeaning (existential)GestureSociologySemioticsAction (physics)Social relationPresentation (obstetrics)Interpersonal communicationInterpersonal relationshipAestheticsPsychologySocial psychologyCommunicationEpistemologyAnthropologyComputer scienceSocial scienceArt

Abstract

fetched live from OpenAlex

ABSTRACT In this article, I approach hand greetings in coastal Kenya as both a form of embodied social action and an everyday tactic used in the presentation of self, the assessment of others, and the negotiation of interpersonal relations. Looking beyond the assumption that a handshake is a simple social performance subject to strategic manipulation, I draw attention to the significance of the felt bodily contact associated with this gesture in order to propose that meaning is generated not only in the dichotomous acts of offering or refusing a handshake but also in utilizing the gesture's tactility. In particular, I argue that women in coastal Kenya negotiate changing understandings ofheshima(respectability), and the social positions to which it is tied, by manipulating the sensory details of hand greetings. This article contributes to recent discussions in sensory anthropology while also providing an ethnographic illustration of an embodied theory of social interaction.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.013
Scholarly communication0.0040.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.318
Teacher spread0.276 · 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 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

Citations46
Published2016
Admission routes1
Has abstractyes

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