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Record W3209583158 · doi:10.1590/s0034-759020210605

WORKING AT THE CROSSROADS OF STRUCTURATIONIST AND DISCURSIVE APPROACHES: A METHODOLOGICAL TOOL FOR PRACTICE-BASED STUDIES

2021· article· en· W3209583158 on OpenAlexaff
Marlei Pozzebon, Natalia Aguilar Delgado, Charo Rodríguez

Bibliographic record

VenueRevista de Administração de Empresas · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsMcGill UniversityGlobal Affairs CanadaHEC Montréal
Fundersnot available
KeywordsBracketing (phenomenology)SociologyEpistemologyManagement scienceData scienceComputer scienceEngineering ethicsKnowledge managementEngineering

Abstract

fetched live from OpenAlex

ABSTRACT In this paper we propose a methodological tool that seeks to contribute to the empirical study of practices in organization studies. There is a need for innovating and improving analytical tactics for theorizing about practice, particularly for helping connect localized social interactions to broader contexts. We propose the “temporal bracketing of discourses” tool and provide a detailed example that empirically illustrates its application.

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)0.152
metaresearch head score (Gemma)0.143
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: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.152
Threshold uncertainty score0.804

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1520.143
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0180.010
Science and technology studies0.0080.062
Scholarly communication0.0200.030
Open science0.0050.014
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.197
GPT teacher head0.363
Teacher spread0.167 · 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
GenreMethods

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
Published2021
Admission routes1
Has abstractyes

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