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Record W1541185587 · doi:10.1002/ev.20112

Credentialed Evaluator Designation Program, the Canadian Experience

2015· article· en· W1541185587 on OpenAlexaboutno aff
Keiko Kuji‐Shikatani

Bibliographic record

VenueNew Directions for Evaluation · 2015
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsValue (mathematics)Professional developmentService (business)Administration (probate law)Political sciencePublic relationsManagementEngineering ethicsSociologyPedagogyComputer scienceEngineeringLawBusinessMarketingEconomics

Abstract

fetched live from OpenAlex

Abstract The Credentialed Evaluator (CE) designation is a service provided by Canadian Evaluation Society (CES) to its members, who may elect to become credentialed on a voluntary basis. The designation means that the holder has provided evidence of the education and experience required by the CES to be a competent evaluator. The author briefly examines the impetus for the CE designation, the value it represents for the Canadian evaluation community, the development of the system including structure and administration, and how it is evolving as we learn from professionalizing evaluation in Canada. Concerns expressed during the development of the Competencies for Canadian Evaluation Practice mirrored those expressed about the development of a professional designation. The CE designation is about providing a path for new evaluators and a clearer direction for more established evaluators for their ongoing development. © Wiley Periodicals, Inc., and the American Evaluation Association.

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)0.037
metaresearch head score (Gemma)0.046
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 score0.963
Threshold uncertainty score0.988

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0200.010
Scholarly communication0.0070.004
Open science0.0030.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.486
GPT teacher head0.579
Teacher spread0.093 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

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