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Modos de Uso de Pesquisa-Ação em Dissertações e Teses em Administração no Brasil

2019· article· pt· W3015329366 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista organizações em contexto/Organizações em Contexto · 2019
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPolitical scienceSociology

Abstract

fetched live from OpenAlex

Este artigo analisa os tipos de pesquisa-ação predominantes em dissertações de mestrado e teses de doutorado em Administração no Brasil. O referencial teórico provém de Thiollent (2011) que defende a pesquisa-ação. Trata-se de uma pesquisa bibliográfica realizada em 2018, em 42 dissertações e teses defendidas no período de 2011 a 2016 nos programas de pós-graduação em administração brasileiros. Os dados foram submetidos à Análise de Conteúdo utilizando-se as categorias definidas por Tripp (2005): técnica; prática; política; socialmente crítica; e emancipatória. Os resultados revelam um forte predomínio da visão técnica e prática de pesquisa-ação e pouca utilização nos sentidos político e crítico-social, indo ao encontro da visão hegemônica funcionalista no campo da Administração. As contribuições do artigo são esclarecimentos sobre o uso da pesquisa-ação, bem como orientações para a exploração de novas tipologias.

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.

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)0.006
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0020.008
Science and technology studies0.0030.001
Scholarly communication0.0090.003
Open science0.0080.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0240.025

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 head0.092
GPT teacher head0.383
Teacher spread0.291 · 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