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Record W3125137777

Boards Strategizing in Liminal Spaces: Process and Practice, Formal and Informal

2017· article· en· W3125137777 on OpenAlexaff
Marg Concannon, Donald Nordberg

Bibliographic record

VenueBournemouth University Research Online (Bournemouth University) · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsRoyal Bank of Canada
Fundersnot available
KeywordsLiminalityCorporate governanceAmbiguityInstitutionalisationPublic relationsProcess (computing)Control (management)BusinessService (business)Compliance (psychology)Work (physics)Political scienceSociologyManagementMarketingPsychologyEngineeringSocial psychologyLawFinanceComputer science
DOInot available

Abstract

fetched live from OpenAlex

Boards operate notionally in a liminal, nonhierarchical space, neither inside the company nor outside, creating ambiguity between service and control functions and fostering tolerance of it. With repeated corporate governance crises, however, new prescriptions institutionalized in law, regulation, and codes of conduct have added significance to the control side, marked by monitoring and compliance tasks. Taking a cue from the strategy process and strategy-as-practice literatures, this study revisits the work of directors on the service side: their engagement in strategizing. Formalization of board processes has led to greater structure and reduced the liminality of the board. Using interviews with 20 directors from a range of organization types, this study finds that directors experiment respond to increased institutionalization of board practice by seeking out new liminal spaces and informal practices, with implications for theory of boards, board activities, and public policy.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.009
Open science0.0010.002
Research integrity0.0000.001
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 head0.062
GPT teacher head0.309
Teacher spread0.247 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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