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Os moradores do bairro Varjão/Rangel como empreendedores morais de um trauma cultural: reflexões etnográficas sobre ressentimento, ironia e recomposição moral da normalidade normativa

2020· article· pt· W3006148090 on OpenAlexaff
Raoni Borges Barbosa

Bibliographic record

VenueRevista AntHropológicas · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicUrban and sociocultural dynamics
Canadian institutionsGreo
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Este artigo analisa os impactos morais e emocionais no cotidiano dos moradores de um bairro popular da cidade de João Pessoa - PB, o Varjão/Rangel, de um crime banal e cruel, entre iguais, ali ocorrido no ano de 2009. A análise parte de relatos etnográficos dos moradores do Varjão/Rangel em relação às várias tentativas e investidas moralizantes sobre seu lugar de pertença, para, assim, buscar compreender a postura ressentida e irônica que se desenvolveu no processo de recomposição moral da normalidade normativa do bairro desde o surto de violência que chocou e envergonhou os moradores do Varjão/Rangel. Trata-se de um esforço em entender a relação tensa de construção de moralidades e de imposição de condutas em relação aos usos morais de uma situação de vergonha-desgraça desde os empreendimentos morais, na forma de um trauma cultural, dos moradores do bairro do Varjão/Rangel. Palavras-chave: falência e recomposição moral, ressentimento e ironia, empreendimento e apropriação moral, bairro do Varjão/Rangel

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)0.003
metaresearch head score (Gemma)0.006
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 score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0090.004
Open science0.0010.009
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.098
GPT teacher head0.368
Teacher spread0.271 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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