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Record W2084366648 · doi:10.1177/1049731510395948

The Development of an Online Practice-Based Evaluation Tool for Social Work

2011· article· en· W2084366648 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.

Bibliographic record

VenueResearch on Social Work Practice · 2011
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)Social workIdentification (biology)Internal consistencyConsistency (knowledge bases)Field (mathematics)Computer sciencePsychologySkewMedical educationApplied psychologyPsychometricsArtificial intelligenceMedicineClinical psychologyMathematics

Abstract

fetched live from OpenAlex

Objective: This paper describes the development of a practice-based evaluation (PBE) tool that allows instructors to represent their student’s clinical performance in a way that is sufficiently authentic to resonate with both instructors and students, is psychometrically sound, and is feasible in the context of real practice. Method: A new online evaluation tool was designed to address several of the problems associated with previous methods of evaluation, and was tested on 190 field instructor—student pairs. Results: Results demonstrated feasibility of the tool, high acceptability from students and faculty, high internal consistency, and clearly reduced ceiling effect, when compared with a traditional competency-based evaluation (CBE) tool. It did, however, continue to result in a strong skew toward positive evaluation and did not increase the identification of students at risk. Conclusions: The online PBE tool demonstrates promise in redressing some of the evaluation issues posed by the previous CBE model of evaluation.

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)0.026
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.937
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.065
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.450
GPT teacher head0.595
Teacher spread0.145 · 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