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Record W4309108493 · doi:10.1177/10283153221137687

Selling out the Public University? Administrative Sensemaking Strategies for Internationalization via Private Pathway Colleges in Canadian Higher Education

2022· article· en· W4309108493 on OpenAlexaffabout
Merli Tamtik

Bibliographic record

VenueJournal of Studies in International Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsInternationalizationSensemakingHigher educationRationalization (economics)Public relationsPublic administrationIdeologySociologyInstitutional theoryPolitical scienceBusinessSocial scienceLaw

Abstract

fetched live from OpenAlex

The emergence of agreements between private pathway colleges and public English-medium institutions represents a new development in internationalization that further challenges the public higher education landscape. While these institutional arrangements are controversial and often criticized, university senior administrators have been successfully able to advocate for and authorize them. This paper takes a closer look into the reasoning that administrators use in order to legitimize formal agreements with private pathway colleges in Canada. Drawing from the sensemaking literature within organizational theory, the following strategies are traced and analyzed: 1) normalization, 2) authorization, 3) rationalization, 4) moralization, and 5) narrativization. Through content analysis of 50 institutional documents, supported by nine semi-structured interviews with senior administrators representing two public universities and one private provider in Canada (Navitas), the paper demonstrates how neoliberal ideologies in internationalization are actively enacted in public spaces by administrators representing the public higher education sector.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.088
GPT teacher head0.400
Teacher spread0.311 · 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

Citations7
Published2022
Admission routes2
Has abstractyes

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