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Anthropology and Beauty: From Aesthetic to Creativity, edited by Stephanie Bunn

2021· article· en· W3161913329 on OpenAlexaffvenue
Amélie Keyser-Verreault

Bibliographic record

VenueAnthropologica · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsConcordia University
Fundersnot available
KeywordsBeautyCreativityAestheticsAnthropologySociologyArtPsychologySocial psychology

Abstract

fetched live from OpenAlex

T his imposing volume explores varied perspectives on the experience and production of what the contributors of the twenty-eight chapters of the book take to be 'beauty.'Bunn's edited volume offers an understanding of the recent trend of the anthropological thinking of art, aesthetics, and creativity, and aims to see the value of an anthropological approach to beauty which illuminates some of the shared preoccupations of scholars of aesthetics.The book does not so much analyze beauty or reflect on the philosophical trends that theorize it, but instead, in an anthropological gesture, each chapter explores beauty as something non-static, as a form of action, as the result of actions, as something both universal and relative, and as something that is lived by people through their senses.In so doing, this volume gives voice to the everyday experience of beauty.This bridges the divide between an evaluative aesthetic approach in which beauty is lodged in the object under consideration, and a relativistic approach, which is key to anthropology and takes such judgment to be solely subjective.The approach of this book is to consider beauty as dynamic and living processes experienced through relationships, whether between person and thing; makers and the made; person and process or action; person and environment; or person and person.These experiential and relational approaches are explored in the eight parts of the book.These chapters are preceded by an introduction, which sets the table for some of the complex philosophical ideas developed in the book.Part 1 shows how beauty as it relates to patterning and mathematical cognition can be grasped and experienced as affective through actions of the body and the social.This breaks with the analytical tendency to assume that patterns

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.006
Scholarly communication0.0060.007
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0090.003

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 head0.036
GPT teacher head0.285
Teacher spread0.249 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes2
Has abstractyes

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