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Record W2292487655 · doi:10.1093/jpo/jov007

Scripting professional identities: how individuals make sense of contradictory institutional logics

2015· article· en· W2292487655 on OpenAlexaff
Frans Bévort, Roy Suddaby

Bibliographic record

VenueJournal of Professions and Organization · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsScripting languageComputer scienceSociologyProgramming language

Abstract

fetched live from OpenAlex

This article examines how individual accountants subjectively interpret competing logics of professionalism as they transform from practicing accountants to managerial roles and as their organizations transform from traditional professional partnerships to more corporate organizational forms. Based on a longitudinal ethnography of professionals in a Big Four accounting firm we analyse the process by which individual professionals make sense of their new roles and integrate the conflicting demands of professional and managerial logics. We find that individuals are active authors of their own <it>identity scripts</it>. We further observe considerable interpretive variation in how identity scripts are reproduced and enacted. We contribute to the emerging understanding of institutions as ‘inhabited’ by individuals and extend this literature by demonstrating that the institutional work of reinterpreting competing logics is based less of inter-subjective interactions, as prior literature has assumed, and is, instead, based on individual cognition and interpretive subjectivity. We also contribute to research in professional service firms by offering a conceptual model of the individual micro-processes required for successful archetypal change.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.032
GPT teacher head0.237
Teacher spread0.205 · 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 designObservational
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

Citations236
Published2015
Admission routes1
Has abstractyes

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