MétaCan
Menu
Back to cohort
Record W4366449986 · doi:10.3138/cjpe.0021.002

Evaluation Practice in Canada: Results of a National Survey

2007· article· en· W4366449986 on OpenAlexaffvenueabout
Benoît Gauthier, S.S. Borys, Natalie Kishchuk, Simon F. Roy

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsMerck Canada Inc. (Canada)Environment and Climate Change Canada
Fundersnot available
KeywordsCertificationWorkforceProfessionalizationPublic relationsWork (physics)PsychologyAccountabilityPopulationMedical educationAction (physics)Position (finance)Professional certification (computer technology)Political scienceBusinessSociologyMedicineEngineeringLaw

Abstract

fetched live from OpenAlex

Abstract: This article reports on the results of a national survey that describes the professional and practice profiles of program evaluators in Canada, their views of their working conditions, and their sense of belonging to the field of evaluation. The data were collected between May and July 2005 via a Web survey, and 1,005 respondents filled out questionnaires. Among them, 647 indicated that they were internal or external evaluation producers, the others being evaluation users, students, or researchers. The results raise several issues. First, much of the evaluation work being done in Canada appears to be driven by accountability requirements, and secondarily by an appetite for program improvement or reconsideration. Second, voluntary certification, while quite widely supported, may create or encounter significant challenges in attempting to achieve professionalization goals. Third, the survey documents the need for professional training and the low levels of satisfaction with the training received to meet the requirements of evaluation positions. Finally, based on the current configuration of the population of active evaluators, on the intent of a majority of young evaluators to leave the field in the next few years, and on the training required in evaluation, the profession is not currently in a position to sustain itself through the renewal of a stable, capable, and committed workforce. Taken together, these results suggest a need for reflection and action on the future development of the profession.

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)0.233
metaresearch head score (Gemma)0.104
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2330.104
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.539
GPT teacher head0.585
Teacher spread0.045 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2007
Admission routes3
Has abstractyes

Explore more

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