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Record W4387532646 · doi:10.1080/14719037.2023.2264873

Managing the performance of healthcare networks: a ‘dance’ between control and collaboration

2023· article· en· W4387532646 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePublic Management Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsUniversity of OttawaUniversity of TorontoMcMaster University
FundersCancer Care Ontario
KeywordsAmbidexterityDanceCorporate governanceManagement control systemKnowledge managementBusinessControl (management)Network governancePublic relationsProcess managementComputer sciencePolitical scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This qualitative case study examines how the tension between control and collaboration is managed in the relationship between a Network Administrative Organization (NAO) and the 40 inter-organizational service delivery networks it governs using a performance management system. We found that the relationship between the NAO and networks operated as a ‘dance’, with the NAO taking steps to collaborate with and control the networks. We identified three forms of network governance ambidexterity that characterize this dance – structural, goal, and behavioural – and propose a framework of their antecedents, stability, and influencing factors. Network governance ambidexterity may help explain network functioning and performance.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.063
GPT teacher head0.401
Teacher spread0.338 · 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