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Record W2065251493 · doi:10.1108/02621711011019260

Managing, managerial control and managerial identity in the post‐bureaucratic world

2010· article· en· W2065251493 on OpenAlexaff
Steve McKenna, Lucia Garcia‐Lorenzo, Todd Bridgman

Bibliographic record

VenueJournal of Management Development · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsYork University
Fundersnot available
KeywordsBureaucracyIdentity (music)Control (management)Relation (database)Public relationsBusinessManagementSociologyPolitical scienceEconomicsComputer scienceLawPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Purpose - The purpose of this paper is to provide an overview of the issues involved in managerial control and managerial identity in relation to the idea of a post-bureaucratic organization. In addition it introduces the papers in this special issue. Design/methodology/approach - The paper identifies the increasing complexity of issues of managerial control and managerial identity that arise from the idea of a post-bureaucratic organization and post-bureaucratic working practices, such as flex-work and project management. Findings - The paper suggests that the form and nature of managerial control and managerial identity are constantly evolving and in a state of flux as a consequence of processes of (de)bureaucratization and (re)bureaucratization. Originality/value - The paper raises important questions about the nature of management in post-bureaucratic work environments and challenges the behaviourist competencies approach to developing managers.

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)0.009
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.031
Scholarly communication0.0150.008
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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 designQualitative
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

Citations29
Published2010
Admission routes1
Has abstractyes

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