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Record W2161348127 · doi:10.1177/0009922814526974

Evaluation of a Social Pediatrics Elective

2014· article· en· W2161348127 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClinical Pediatrics · 2014
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersHospital for Sick Children
KeywordsMedicinePediatricsMEDLINEFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to examine aspects of a social pediatrics elective that led to student self-reflection and transformation. METHODS: To assess student learning from our social pediatric elective, we retrospectively evaluated self-reflection papers. We focused on the effectiveness of the educational approach to inspire students to incorporate the social determinants of health into their practice. Furthermore, in each reflection paper, we looked for evidence of different phases of transformation. RESULTS: The social determinants of health were the most commonly described theme. Poverty was mentioned directly or described implicitly in almost all papers. For many students, seeing the social context of patients in real life, whether in a special clinic or at a home visit, was a disturbing and disorienting experience that triggered transformation. CONCLUSION: The use of reflection papers in the evaluation of a social pediatric elective documented transformative learning.

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)0.008
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.031
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)0.0000.000

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 head0.103
GPT teacher head0.463
Teacher spread0.360 · 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