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Record W2902608297 · doi:10.3138/cjpe.42195

One-Room School: The Summer Institute in Program Evaluation

2018· article· en· W2902608297 on OpenAlexaffvenueabout
Javier Mignone, Aynslie Hinds, Karen A. Duncan, Paula Migliardi, Marianne Krawchuk, Bohdanna Kinasevych

Bibliographic record

VenueCanadian Journal of Program Evaluation · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGeneral partnershipMedical educationProgram evaluationCommunity serviceService-learningService (business)PsychologySociologyPedagogyPolitical sciencePublic relationsBusinessMedicinePublic administrationMarketing

Abstract

fetched live from OpenAlex

Abstract: This article describes the Summer Institute in Program Evaluation conceived and organized in partnership by University of Manitoba faculty members, four partnering organizations in the health and social-service sector, and a university student group. It explains the model of learning, which involves the development of real-life evaluation plans in a week-long intensive course that includes university students and community participants. The article concludes by detailing a series of lessons learned.

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)0.070
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0700.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.009
Scholarly communication0.0060.005
Open science0.0040.015
Research integrity0.0030.011
Insufficient payload (model declined to judge)0.0160.004

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 head0.573
GPT teacher head0.578
Teacher spread0.005 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2018
Admission routes3
Has abstractyes

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