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Record W2243407445

The Body and Affectivity as Objects of Study in Latin America: Thematic Interests and the Recent Process of Institutionalization

2011· article· en· W2243407445 on OpenAlexaboutno aff
Olga Sabido Ramos

Bibliographic record

VenueSociológica (México) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Cultural Politics
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansInstitutionalisationSociologyHumanitiesPremisePolitical scienceEpistemologyPhilosophyLaw
DOInot available

Abstract

fetched live from OpenAlex

This article does a first mapping of the current state of interest in the body and affectivity in Latin America from the point of view of the social sciences in general and sociology in particular. The allusion to Latin America is not as a geographical entity, but rather an analysis of a regional institutional channel for sociology: the Latin American Sociology Association. The article underlines how, at the same time that internationally shared horizons for interpretation that have taken a turn toward these topics prevail, specific regional characteristics can be discerned, related to social problems, focuses on specific historic experiences, particular theoretical frameworks, and precedents of the institutionalization of themes that are precursors in these areas. KEy wORdS: sociology of science, body, affectivity, emotions, Latin America, Latin American Sociology Association (alas). 1 Este escrito forma parte del proyecto de investigacion “Cuerpo y afectividad en la sociedad contemporanea. Una aproximacion desde la sociologia”, (conacyt, num. 106627). Una version preliminar aparecio como ponencia en el panel: “Body and emotions. A Latin American Perspective”, en el xxix Congreso Internacional de la Latin American Studies Association, celebrado en Toronto, Canada, en 2010. 2 Profesora-investigadora del departamento de Sociologia, Universidad Autonoma Metropolitana, unidad Azcapotzalco. Correo electronico: olgasabido@hotmail.com olga sabido Ramos 34

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.338
Teacher spread0.298 · 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 teacher head, 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
Published2011
Admission routes1
Has abstractyes

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