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Record W4378223534 · doi:10.1002/ev.20536

Learning by linking the Canadian Evaluation Society's student case competition within a graduate evaluation course

2023· article· en· W4378223534 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNew Directions for Evaluation · 2023
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsQueen's University
Fundersnot available
KeywordsExperiential learningDialogicPedagogyPsychologyNature versus nurtureSituatedCompetition (biology)Professional developmentAssessment for learningSociologyFormative assessmentComputer science

Abstract

fetched live from OpenAlex

Abstract There are many ways to intertwine theoretical and applied learning to nurture the competencies required to conduct evaluation. Experiential learning opportunities remain a priority for many evaluation educators who are helping learners apply foundational skills and knowledge to practice. Evaluators develop their professional expertise in diverse venues, including through experience, through professional learning, or, as we highlight in this chapter, in graduate school. Incorporating experiential learning from a professional association into a formal graduate course requires a willingness to blend university course expectations and activities with collaborative learning experiences. Using reflective dialogue and poetry enacted through dialogic analysis and reflection, we examine enduring perceptions and learning activated from student participation in the Canadian Evaluation Society's national evaluation case competition as part of evaluation education situated within a formal university graduate course. Weaving five voices representing learners, case study coach, and course instructor, we discuss how the evaluation competition was used to deepen understanding and develop evaluator competencies.

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.

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)0.082
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0820.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.343
GPT teacher head0.548
Teacher spread0.205 · 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