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Record W4231797520 · doi:10.24124/2010/bpgub1452

Defining culture in government: subcultures within the BC Ministry of Environment

2010· dissertation· en· W4231797520 on OpenAlexaff
Pia Peterson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsOrganizational cultureChristian ministryGovernment (linguistics)Public relationsWork (physics)SociologyPolitical scienceKnowledge managementManagementEngineeringComputer scienceLaw

Abstract

fetched live from OpenAlex

A strong and effective organizational culture is critical for the success of an organization. This project is intended to facilitate and support a cultural transition within the Ministry of Environment towards its goal of becoming a High-Performing, Flexible and Resilient Organization. In order to accomplish this, the existing culture within the organization must be defined. The initial component of the project is a detailed literature review. The literature review is focused on the following three main areas: methods to determine organizational culture, culture in the public service, and organizational sub-cultures. The literature review is intended to support and provide rationale for designing the culture within the Ministry of Environment. Based on information gleaned from the literature review, the project proceeds to define the culture within two work units of the Ministry of Environment. The project also defines the characteristics of a High-Performing, Flexible and Resilient Organization as a cultural assessment is of little value unless it is linked to an organizational problem or issue. The cultural model and assessment methodology chosen to define culture of two work units within the Environmental Protection division of the Ministry of Environment was based on the framework defined by Edgar H. Schein. Schein's cultural model has three levels: artifacts, espoused values, and shared assumptions. Based on the high degree of similarity in the results from the two focus groups, four cultural themes were identified within the Ministry of Environment. These themes are intricately linked through underlying elements such as passion, and communication therefore the themes reflect a cultural continuum as opposed to singular stand alone components. The four cultural themes identified include: Clan Mentality, Bureaucracy and Organizational Goals, Organizational Passion, and Communication. The alignment of the cultural themes between the focus groups precludes the designation of independent geographical sub-cultu

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.349
Teacher spread0.306 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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