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The Continuity–Change Duality in Narrative Texts of Organizational Identity*

2005· article· en· W2095403712 on OpenAlexaffabout
Samia Chreim

Bibliographic record

VenueJournal of Management Studies · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsNarrativeOrganizational identityIdentity (music)Context (archaeology)Narrative inquiryPublic relationsSociologyOrganizational changePolitical scienceHistoryLinguisticsAestheticsOrganizational commitment

Abstract

fetched live from OpenAlex

abstract This paper focuses on how continuity and change are managed discursively in narrative texts of organizational identity and thus helps move forward the discussion about persistence and change in organizational identity. The study reports on the content, context and authorial elements of the evolving narrative composed by a Canadian bank's senior managers. The analysis indicates that the discursive strategies employed by organizational authors to establish confluence (or simultaneous continuity and change) include the selective reporting of elements from the past, present and future, the juxtaposition of the ‘modern and attractive’ with the ‘outdated and undesirable’, the persistent use of expansive labels that allow the addition and subtraction of meanings attached to the labels, and the importation of selected themes from the wider macro‐discourses. In keeping with the view that organizations are plurivocal, evolving narratives of the organization in the business press are also presented. These narratives contribute themes that are at times concordant with senior managers’ accounts and thus confirm the value of the changes in identity elaborated by management; at other times, press accounts are discordant with senior managers’ narratives and provide alternative evaluations of the changes. The paper concludes with reflections on the indeterminacy of both organizational identity – for the texts that constitute it remain open to multiple readings and to subsequent re‐writing that continually destabilize it – and the narrative research enterprise that falls short of providing comprehensive and incontrovertible accounts of the voices that constitute organizations.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.001
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 head0.286
Teacher spread0.254 · 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

Citations36
Published2005
Admission routes2
Has abstractyes

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