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Record W1973939318 · doi:10.5539/ass.v11n10p221

The Non-Sharing of Organizational Culture: A Case Study Examining the Management Perspective

2015· article· en· W1973939318 on OpenAlexvenueno aff
Sandro Serpa

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsOrganizational culturePerspective (graphical)AutonomyPublic relationsControl (management)SociologyBusinessKnowledge managementSocial psychologyPsychologyPolitical scienceManagementComputer scienceLaw

Abstract

fetched live from OpenAlex

The degree to which cultural elements are shared by members of an organization is a commonly discussed topic in organizational culture. This research contributes to that discussion by analyzing elements that shape the concrete situations of cultural non-sharing or even conflict, diachronically examining a social and educational organization. A case study of a shelter organization for unprotected children and young female boarders was conducted by examining the organization’s archival documents to discern the perspective of its boards of directors over time. The results demonstrate that the sharing of culture in this organization is not absolute: situations include formal rather than real sharing as well as disagreement, which is understandable considering the functional autonomy of employees and the relationships of the organization with the exterior (both with the State and with the surrounding community). Although the boards of directors sought to control these countercultural elements by establishing a dominant culture, their actions were conditioned by internal and external factors, both intentional and contingent. Thus, one implication of this qualitative research is that successful organizational leaders must be aware that they operate in complex and somewhat unpredictable contexts that influence the management of organizational culture.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
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 head0.024
GPT teacher head0.265
Teacher spread0.241 · 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.

Study designTheoretical or conceptual
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

Citations6
Published2015
Admission routes1
Has abstractyes

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