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Record W4389397234 · doi:10.1097/ceh.0000000000000531

Opening Up the Continuing Professional Development Imagination: Bringing the Clinical Workplace Into View

2023· article· en· W4389397234 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

VenueJournal of Continuing Education in the Health Professions · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsThe Wilson Centre
Fundersnot available
KeywordsExpansiveScholarshipSociocultural evolutionEngineering ethicsSociologyProfessional learning communityLearning theoryProfessional developmentConceptual frameworkLearning sciencesPedagogyWork (physics)Knowledge managementPsychologyExperiential learningSocial scienceEngineeringComputer sciencePolitical science

Abstract

fetched live from OpenAlex

ABSTRACT: This Foundations paper introduces the "Working as Learning Framework (WALF)" to the continuing professional development community. Developed by researchers in the domain of workplace learning, the WALF draws upon theories and concepts from economics, sociology of work, and sociocultural theories of learning. The Framework provides conceptual tools to analyze interconnections between workplaces, the organization of work tasks, and learning. Through these interconnections, the Framework introduces the concepts of "expansive learning environments" and "restrictive learning environments." This paper provides an overview of the WALF before discussing possible implications for continuing professional development educators and researchers. Ultimately, this Foundations paper invites readers to engage with the rich scholarship on workplace learning informed by sociocultural concepts of learning and complemented by research on work and workplaces.

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)0.045
metaresearch head score (Gemma)0.007
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0450.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.128
GPT teacher head0.555
Teacher spread0.427 · 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