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Record W2156544094 · doi:10.2304/rcie.2010.5.1.32

The Quality Assurance of Degree Education in Canada

2010· article· en· W2156544094 on OpenAlexaboutno aff
D. N. Baker, Terry Miosi

Bibliographic record

VenueResearch in Comparative and International Education · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsHigher educationStatuteQuality assuranceGovernment (linguistics)Public administrationAccreditationPolitical scienceLegislationQuality (philosophy)Public relationsState (computer science)LegitimacyBusinessLawMarketingPolitics

Abstract

fetched live from OpenAlex

Under the Canadian constitution, responsibility for education is assigned to the provinces. In some provinces, universities are based in institution-specific statutes, in others, in system-wide legislation. Except for the provinces of Alberta and British Columbia, the provinces leave the quality assurance of academic activities to the universities. In the last 15 years, the post-secondary landscape has become more complex. Four provinces have enabled non-degree-granting colleges to offer specific degree programs on the basis of government approval; three have transformed colleges into universities; four permit external universities, public and private, and new private universities based in Canada to offer programs. Though the innovative provinces established quality assurance agencies to screen programs and organizations, the new degrees met resistance from many public universities, which, in the absence of a national accrediting body, took the position that they would only recognize degrees from institutions belonging to their own promotional national body, the Association of Universities and Colleges of Canada (AUCC). Though the new agencies have published both academic standards and rigorous external review procedures, this response from the public universities in effect marginalized the new degree programs and providers. Thus, the state of quality assurance in higher education in Canada is in a state of flux. This article reviews the state of quality assurance activity across the country in both public universities and in the new quality assurance agencies. It concludes with reflections on the challenge of inserting new degrees and new kinds of degree-granting institutions into a framework of academic legitimacy that all players will accept.

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)0.011
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.908

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0110.008
Scholarly communication0.0130.002
Open science0.0020.003
Research integrity0.0010.003
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 head0.264
GPT teacher head0.562
Teacher spread0.298 · 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
DomainEvaluation
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

Citations16
Published2010
Admission routes1
Has abstractyes

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