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Manifestations of Collegiality Within Universities: Delocalisation and Structural Hybridity as Governance Forms and Practices

2023· book-chapter· en· W4388972630 on OpenAlexafffundabout
Jean‐Louis Denis, Nancy Côté, Maggie Hébert

Bibliographic record

VenueResearch in the sociology of organizations · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversité LavalUniversité de Montréal
FundersFonds de Recherche du Québec - Santé
KeywordsHybridityCollegialityCorporate governancePolitical scienceSociologyBusinessPedagogyAnthropology

Abstract

fetched live from OpenAlex

The theme of collegiality and more broadly of changes in the governance of universities has attracted growing interest within the sociology of higher education. As institutions, contemporary universities are inhabited by competing logics often defined in terms of market pressures and are shaped by the higher education policies of governments. Collegiality is an ideal-type form of university governance based on expertise and scientific excellence. Our study looks at manifestations of collegiality in two publicly funded universities in Canada. Collegiality is explored through the structural attributes of governance arrangements and academic culture in action as a form of self-governance. Case studies rely on two data sources: (1) policy documents and secondary data on various aspects of university development, and (2) semi-structured interviews with key players in the governance of these organisations, including unions. Two main findings with implications for the enactment of collegiality as a governance mode in universities are discussed. The first is that governance structures are slowly transitioning into more hybrid and corporate forms, where academics remain influential but share and negotiate influence with a broader set of stakeholders. The second is the appearance of forces that promote a delocalisation of collegiality, where academics invest in external scientific networks to assert collegiality and self-governance and may disinvest in their own institution, thus contributing to the redefinition of academic citizenship. Status differentiation among academic colleagues is associated with the externalisation of collegiality. Mechanisms to associate collegiality with changes in universities and their environment need to be further explored.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
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 head0.098
GPT teacher head0.433
Teacher spread0.335 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations9
Published2023
Admission routes3
Has abstractyes

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