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Record W3161419099 · doi:10.1590/s0034-759020210305x

INFLUÊNCIA DO PENSAMENTO DE LÍNGUA FRANCESA NA ACADEMIA BRASILEIRA DE ADMINISTRAÇÃO: UM OLHAR FRANCO-QUEBEQUENSE

2021· article· pt· W3161419099 on OpenAlex
Jean‐François Chanlat

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 de Administração de Empresas · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicSocial and Economic Solidarity
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

RESUMO O objetivo deste artigo é dar uma olhada na influência que as obras de língua francesa têm exercido sobre a comunidade acadêmica brasileira nas últimas décadas, a partir do conhecimento do autor e sua longa associação do campo das ciências administrativas brasileiras. Para isso, o artigo está dividido em três partes. A primeira lembra a relação que o autor estabeleceu com a comunidade brasileira para localizar quem está falando e onde ele está falando. A segunda discute brevemente o vínculo histórico que o Brasil mantém, de um modo geral, com o pensamento francês. A terceira apresentará as principais correntes intelectuais que parecem, segundo o autor, ter chamado a atenção dos pesquisadores brasileiros em ciências administrativas. Esta reflexão se conclui com algumas considerações sobre o futuro da área e alguns desejos sobre as futuras relações entre pesquisadores brasileiros e pesquisadores francófonos.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0030.003
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 head0.051
GPT teacher head0.356
Teacher spread0.305 · 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