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Record W2144507877 · doi:10.1177/0095399706297212

Governance, Power, and Mandated Collaboration in an Interorganizational Network

2007· article· en· W2144507877 on OpenAlexaff
Charo Rodríguez, Ann Langley, François Béland, Jean‐Louis Denis

Bibliographic record

VenueAdministration & Society · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversité de MontréalHEC MontréalMcGill University
Fundersnot available
KeywordsCollaborative governanceCorporate governancePower (physics)Public relationsNetwork governanceProcess (computing)Value (mathematics)SociologyShared governanceCollaborative networkBusinessKnowledge managementPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This article explores the challenges of mandated collaboration among public health care organizations. This in-depth longitudinal multiple case study examines the interests and values of various organizational actors in three collaborative initiatives, focusing on the mobilization of power within the governance frameworks available to them. The authors elaborate on three alternate readings of the processes examined: The managerialist views poor interorganizational collaboration as a failure to adequately manage the process; the symbolic focuses on the value of collaborative initiatives even in the absence of instrumental results; and the third examines the systemic web of power relationships reproduced over time.

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 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)0.019
metaresearch head score (Gemma)0.033
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.030
Scholarly communication0.0090.015
Open science0.0010.010
Research integrity0.0020.002
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 head0.021
GPT teacher head0.385
Teacher spread0.364 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations235
Published2007
Admission routes1
Has abstractyes

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