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Idle Hands Are the Devil’s Tools: Organizational Identity Work as Situated Interaction

2019· article· en· W2965941058 on OpenAlexaff
Fernando Fachin

Bibliographic record

VenueAcademy of Management Proceedings · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsSituatedIdentity (music)Organizational identityNegotiationOrganizational studiesOrganizational learningSociologyEthnographyWork (physics)Public relationsOrganization developmentOrganizational commitmentIdentity formationKnowledge managementPolitical scienceSocial scienceAnthropologyEngineeringAestheticsComputer science

Abstract

fetched live from OpenAlex

Studies of identity in organizations have provided valuable insights about how individuals in times of crisis, change, or turbulence make sense of and negotiate understandings of “who we are”. However, in mundane everyday organizational life, how that which is central and distinctive about the organization is constructed remains underexplored. This research uses the concept of organizational identity work and an ethnographic case study on the rise and fall of an open innovation organization from inception. This study finds that organizational identity work may rather divert from convergence towards values and practices, and risks breaking the organization apart. This study contributes to our understandings of organizational identity work as constructing situated interactions, the unexpectedness of organizational identity construction, and organizational identity as process.

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)0.007
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.001
Science and technology studies0.0060.044
Scholarly communication0.0130.013
Open science0.0010.011
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.241
Teacher spread0.219 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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