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Intersecções, Diálogos e Distanciamentos entre e Teoria da Atividade e a Psicologia Social Comunitária Latino-Americana: Contribuições à Aprendizagem Organizacional

2017· article· pt· W4241489435 on OpenAlexaff
Maurício Donavan Rodrigues Paniza, Márcio Pascoal Cassandre

Bibliographic record

VenueAmericanae (AECID Library) · 2017
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsLogos Bible SoftwareSociologyPhilosophyHumanitiesEpistemologyTheology

Abstract

fetched live from OpenAlex

A aprendizagem organizacional é um campo de pesquisa marcado por uma diversidade de possibilidades teóricas e epistemológicas. Entre elas, estão as abordagens teóricas que subsidiam a realização de pesquisas intervencionistas. O argumento central que norteia a pesquisa intervencionista é que não é suficiente que o pesquisador compreenda o mundo, é preciso agir para transformá-lo. A partir disso, este ensaio reflete sobre as possibilidades de contribuição à pesquisa em aprendizagem organizacional a partir da adoção das abordagens da Teoria da Atividade Histórico-Cultural e da Psicologia Social Comunitária Latino-americana, que podem subsidiar pesquisas intervencionistas em Estudos Organizacionais. Nessas abordagens, a aprendizagem organizacional é compreendida como o processo transformativo ocorrido pelos sujeitos da atividade, pelo pesquisador articulador do aprendizado e pela comunidade das organizações pesquisadas; portanto, todos são coautores do conhecimento produzido.

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)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.023
Scholarly communication0.0140.008
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.068
GPT teacher head0.339
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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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