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Record W3006683350 · doi:10.1097/acm.0000000000003250

Being Edgy in Health Professions Education: Concluding the Philosophy of Science Series

2020· article· en· W3006683350 on OpenAlexaff
Anna MacLeod, Rachel Ellaway, Elise Paradis, Yoon Soo Park, Meredith Young, Lara Varpio

Bibliographic record

VenueAcademic Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsMcGill UniversityMcGill University Health CentreSouth Health CampusThe Wilson CentreDalhousie University
Fundersnot available
KeywordsAxiologyEpistemologyOntologyPhilosophy of scienceScholarshipEngineering ethicsPhilosophy of computer scienceFraming (construction)SociologyWestern philosophyPhilosophyPolitical science

Abstract

fetched live from OpenAlex

The philosophy of science is concerned with what science is, its conceptual framing and underlying logic, and its ability to generate meaningful and useful knowledge. To that end, concepts such as ontology (what exists and in what way), epistemology (the knowledge we use or generate), and axiology (the value of things) are important if somewhat neglected topics in health professions education scholarship. In an attempt to address this gap, Academic Medicine has published a series of Invited Commentaries on topics in the philosophy of science germane to health professions educational science. This Invited Commentary concludes the Philosophy of Science series by providing a summary of the key concepts that were elucidated over the course of the series, highlighting the intent of the series and the principles of ontology, epistemology, axiology, and methodology. The authors conclude the series with a discussion of the benefits and challenges of cross-paradigmatic research.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptuallow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
models splitAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.615
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.089
GPT teacher head0.420
Teacher spread0.331 · 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

Labeled directly by 2 models reading the full record.

Science and technology studies

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designTheoretical or conceptual · Not applicable
Domainnot available
GenreCommentary

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

Citations14
Published2020
Admission routes1
Has abstractyes

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