MétaCan
Menu
Back to cohort
Record W4367030138 · doi:10.3138/cjpe.0015.008

Stakeholder Involvement in Educational Evaluation: Québec’s Commission d’évaluation de l’enseignement collégial

2001· article· en· W4367030138 on OpenAlexaffvenueabout
Kenneth Cabatoff

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2001
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsStakeholderCommissionValuation (finance)Program evaluationEvaluation methodsTheory of changeMedical educationPsychologyPolitical sciencePedagogyPublic relationsManagementBusinessMedicinePublic administrationAccountingEngineeringEconomics

Abstract

fetched live from OpenAlex

Abstract: The introduction of program evaluation in Quebec’s junior colleges — known as CEGEPs or Collèges d’enseignement général et professionnel — has followed two general principles. Those called to participate in evaluation are asked to specify the objectives of the programs being evaluated. The Quebec college teaching evaluation board, the Commission d’évaluation de l’enseignement collégial (CÉEC), proposes that all who have active roles in the management or teaching of the CEGEP programs should participate in evaluation. The evaluation process should be both results-oriented and participative. Those who should be most involved in the evaluation exercise — the CEGEP teachers — have for the most part refused to participate. This is explained, according to the CÉEC, by the “new and ill-defined nature of the task.” However, the CEGEP teachers are also perceived as being resistant to evaluation, which the CÉEC evaluators hope will change over time. In the evaluation of the Day Care Education Program, for example, the evaluators focused primarily on the objectives of the full-time diploma (DEC) programs rather than on those of the part-time (AEC) programs. As a result, the evaluation failed to identify some of the real problems of the AEC programs. It is argued that a theory-driven approach to evaluation would be more successful in dealing with the AEC programs’ problems. A bottom-up approach would have mobilized more stakeholder involvement than the top-down approach actually employed.

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)0.045
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0450.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.000

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 head0.476
GPT teacher head0.504
Teacher spread0.028 · 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.

Study designObservational
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

Citations1
Published2001
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Program EvaluationSame topicEvaluation and Performance AssessmentFrench-language works237,207