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Record W2137343073 · doi:10.47678/cjhe.v43i2.2427

Academic freedom in Canadian higher education: Universities, colleges, and institutes were not created equal

2013· article· en· W2137343073 on OpenAlexaffvenueabout
Barry Edwin Hogan, Lane Trotter

Bibliographic record

VenueCanadian Journal of Higher Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic Freedom and Politics
Canadian institutionsFanshawe CollegeBritish Columbia Institute of Technology
Fundersnot available
KeywordsAcademic freedomHigher educationCollegialityCorporate governancePolitical sciencePublic administrationSociologyPerspective (graphical)State (computer science)Public relationsPedagogyManagementLaw

Abstract

fetched live from OpenAlex

There has been substantial discussion, research, and debate about the role of academic freedom within higher education, primarily centered on the university model. Not as well documented or understood is the issue of academic freedom within colleges and institutes in Canada. In this paper, we examine the current state of academic freedom in colleges and institutes using a historical analysis of two Canadian provinces, British Columbia and Ontario. Beginning with an overview of academic freedom within universities, we then examine the development and evolution of colleges and institutes and discuss how or if academic freedom applies to them. We consider issues of collegiality, faculty engagement, and governance as they impact the concept and practice of academic freedom within these institutions. We also discuss the different origins, intents, roles, and governance models of universities in contrast to colleges and institutes, which are generally representative of the broader Canadian higher education landscape.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.854

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.010
Science and technology studies0.0380.034
Scholarly communication0.0160.005
Open science0.0010.005
Research integrity0.0030.005
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 head0.023
GPT teacher head0.293
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

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainIncentives
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

Citations35
Published2013
Admission routes3
Has abstractyes

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