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Record W2923254025 · doi:10.15694/mep.2019.000065.1

An Evaluation of the Scholarly Activity Guidance and Evaluative (SAGE) Program

2019· article· en· W2923254025 on OpenAlexaff
Emery Terrell, Amisha Agarwal, Timothy Wood, Hilary Writer, Catherine Pound

Bibliographic record

VenueMedEdPublish · 2019
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsSAGEMedical educationPsychologyGerontologyMedicine

Abstract

fetched live from OpenAlex

<ns4:p>This article was migrated. The article was marked as recommended. Objective: To evaluate the SAGE program five years following implementation. Methods: Our program evaluation was based on Guskey's five-level framework for evaluation of professional development. Residents and supervisors were invited to participate. Participants' reactions, learning, perceived organization support, use of new knowledge or skills and learning outcomes were examined through questionnaires and interviews. Results: 54% of residents and 65% supervisors were mostly or very satisfied with SAGE. 75% of residents felt there was moderate or great institutional support of resident research. Most residents and supervisors reported satisfaction with institutional research resources. Residents participating in the SAGE program reported a greater number of grant submissions and awards, but fewer conference presentations. Conclusions: SAGE has been well received by residents and supervisors. Findings suggest the program has fostered the development of research abilities and improved institutional support. It remains unclear if demonstrable learning outcomes have increased since program implementation. We also identified several barriers which will serve as targets for program improvement in future.</ns4:p>

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)0.030
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.005
Open science0.0010.000
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 head0.205
GPT teacher head0.524
Teacher spread0.319 · 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
Published2019
Admission routes1
Has abstractyes

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