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Mágoas de amizade: um ensaio em antropologia das emoções

2002· article· pt· W2106902758 on OpenAlexfundno aff
Cláudia Barcellos Rezende

Bibliographic record

VenueMana · 2002
Typearticle
Languagept
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
FundersMemorial University of NewfoundlandUniversity of CambridgeUniversity of ChicagoPrinceton University
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Neste ensaio, analiso a recorrência das categorias grosseria (rudeness) e ofensa (offence) no discurso sobre a amizade de um grupo de ingleses de camadas médias em Londres. Mais do que outros sentimentos ditos positivos, a menção freqüente a essas categorias aponta para uma tensão que atravessa o discurso sobre a amizade e que problematiza o espaço das amizades no conjunto mais amplo das relações sociais. Adoto, aqui, uma abordagem pragmática dentro do campo da "antropologia das emoções". Se, em um primeiro momento, os estudos priorizavam a relativização das categorias de emoções entre as culturas, verifica-se, mais recentemente, um movimento no sentido de tomar os discursos emotivos como práticas situadas em jogos de relações sociais e negociações de poder. Com isso, a emoção deixa de ser vista como experiência interna, subjetiva, para ser analisada como prática discursiva com efeitos externos, extrapolando o chamado domínio do privado.

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)0.004
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 score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.015
Scholarly communication0.0070.007
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.064
GPT teacher head0.306
Teacher spread0.242 · 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

Citations16
Published2002
Admission routes1
Has abstractyes

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