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Record W2727808690 · doi:10.3138/cjpe.018.008

Students’ Perspective of the CES Case Competition

2003· article· en· W2727808690 on OpenAlexaffvenueabout
Candace I. J. Nykiforuk, Trisha Gavin, Jennifer Yessis, A.M. Spencer, Nicki Lauzon, Liz Cyarto

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2003
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCompetition (biology)Presentation (obstetrics)Perspective (graphical)Task (project management)Relevance (law)Argument (complex analysis)PsychologyMedical educationWork (physics)Time limitManagementComputer scienceMedicinePolitical scienceEngineeringLaw

Abstract

fetched live from OpenAlex

The Case Competition is open to university students (undergraduate and graduate) across Canada. Teams of three to five students, from any discipline, analyze an evaluation case and present their findings to a panel of judges. The competition consists of two rounds — the preliminary and the final. The preliminary round takes place at each team’s home university. The teams are presented with an evaluation case and asked to address specific issues. The team may be asked to comment on a completed evaluation, make recommendations for partially completed work, or design a full evaluation. The time limit is very strict, and the teams have no idea ahead of time what the content or nature of their task will be. During the preliminary round, the report is e-mailed or faxed to the case organizers within five hours of receiving the case material. Volunteer judges affiliated with the CES read the submissions and invite three teams to participate in the final round. Their decision is based on specific criteria: content (relevance of material), accessibility (ease of absorption of information), impact (strength of argument), and overall impression of the presentation.

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)0.013
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.326
GPT teacher head0.550
Teacher spread0.225 · 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

Citations0
Published2003
Admission routes3
Has abstractyes

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