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Record W2766085761 · doi:10.28945/2928

Information Politics and Information Culture: Case of a Festival Organization

2005· article· en· W2766085761 on OpenAlexaff
Bob Travica

Bibliographic record

VenueInforming Science and IT Education Conference · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPoliticsClanKnowledge managementOrganizational cultureInformation systemInformation managementSociologyGroup information managementManagement information systemsPersonal information managementPublic relationsComputer sciencePolitical science

Abstract

fetched live from OpenAlex

This article introduces the concepts of information politics and information culture and presents a case study that explores these concepts. The literature from the areas of IS theory and organization theory that provides a backdrop to these concepts is discussed. A case of an organization that has characteristics of both small business and voluntary organization is presented as initial validation of the concepts of information politics and information culture. The case draws on a longitudinal interpretivist study and tracks a trajectory of organizational design, information politics, information culture, management and organizational performance over 25 months. The primary finding is that the organization studied exhibited two distinct information politics and information cultures, each related to different development phases—the era of clan and the era of teams. The article also discusses particular aspects of information politics and information culture and how these relate to organizational performance. Derived are implications for further research on information politics and information culture as well as for a broader parent framework called Information View of Organization.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.032
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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 designNot applicable
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
Published2005
Admission routes1
Has abstractyes

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