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Canadian Higher Education System: Evaluation of the HEQCO Agency for the development of Education in the province of Ontario

2022· article· en· W4282591906 on OpenAlexaboutno aff
Danilo de Melo Costa

Bibliographic record

VenueEnsaio Avaliação e Políticas Públicas em Educação · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)AutonomyGovernment (linguistics)Exploratory researchHigher educationAssertivenessPolitical sciencePublic relationsQuality (philosophy)Order (exchange)Public administrationSociologyBusinessPsychologySocial scienceSocial psychology

Abstract

fetched live from OpenAlex

Abstract Canada is a country with a recognized Education system, and the province of Ontario has the largest number of students enrolled in Higher Education. Due to its management complexity, the Government of Ontario created the agency Higher Education Quality Council of Ontario (HEQCO). Because it is an unusual agency in most countries, this research aims to better understand HEQCO under the vision of the main stakeholders of the system. In order to reach the results, exploratory and qualitative research was developed, from the accomplishment of interviews with managers of the Canadian government and application of questionnaire for six professors specialists in Canadian Higher Education and two student leaderships. The results showed that HEQCO has a prominent role but needs greater autonomy. This study also realized that in highly centralized systems, having an agency acting on specific issues can be an efficient way to identify the greatest challenges and be more assertive in the actions and policies outlined for each locality, assisting in its development.

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.357
Teacher spread0.308 · 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 designQualitative
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

Citations0
Published2022
Admission routes1
Has abstractyes

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