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Record W2155232257 · doi:10.2189/asqu.2010.55.2.189

Institutional Work in the Transformation of an Organizational Field: The Interplay of Boundary Work and Practice Work

2010· article· en· W2155232257 on OpenAlexaff
Charlene Zietsma, Thomas B. Lawrence

Bibliographic record

VenueAdministrative Science Quarterly · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsSimon Fraser UniversityUniversity of Victoria
Fundersnot available
KeywordsBoundary-workWork (physics)Boundary (topology)Agency (philosophy)Organizational fieldField (mathematics)Process (computing)Public relationsSubject (documents)State (computer science)SociologyKnowledge managementPolitical scienceInstitutional theoryComputer scienceEngineeringMechanical engineeringSocial science

Abstract

fetched live from OpenAlex

We draw on an in-depth longitudinal analysis of conflict over harvesting practices and decision authority in the British Columbia coastal forest industry to understand the role of institutional work in the transformation of organizational fields. We examine the work of actors to create, maintain, and disrupt the practices that are considered legitimate within a field (practice work) and the boundaries between sets of individuals and groups (boundary work), and the interplay of these two forms of institutional work in effecting change. We find that actors' boundary work and practice work operate in recursive configurations that underpin cycles of institutional innovation, conflict, stability, and restabilization. We also find that transitions between these cycles are triggered by combinations of three conditions: (1) the state of the boundaries, (2) the state of practices, and (3) the existence of actors with the capacity to undertake the boundary and practice work of a different institutional process. These findings contribute to untangling the paradox of embedded agency—how those subject to the institutions in a field can effect changes in them. We also contribute to an understanding of the processes and mechanisms that drive changes in the institutional lifecycle.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
models splitAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.053
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.004
Science and technology studies0.0150.052
Scholarly communication0.0160.011
Open science0.0020.011
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.284
Teacher spread0.269 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designQualitative · Theoretical or conceptual
Domainnot available
GenreEmpirical · Other

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

Citations1,063
Published2010
Admission routes1
Has abstractyes

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