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Record W4380324579 · doi:10.30557/qw000065

Real-world experts co-facilitate design-mode Knowledge Building in a continuing medical education course in palliative care

2023· article· en· W4380324579 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

VenueQwerty · 2023
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsHealth Sciences CentreWestern UniversitySunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsAgency (philosophy)FacilitationPalliative careWork (physics)Knowledge managementPsychologyKnowledge buildingMedical educationContinuing medical educationContinuing educationPublic relationsSociologyEngineering ethicsPedagogyNursingMedicineComputer sciencePolitical scienceEngineering

Abstract

fetched live from OpenAlex

Engaging real-world experts as partners in co-facilitation of collaborative Knowledge Building with students has been overlooked in educational research, yet it is an enriching way to elevate knowledge work beyond knowledge acquisition, for authentic, improvable impact on practice. Reflective observational analysis, a novel method, indicatesthat successful integration of real-world experts as co-facilitators in sustained Knowledge Building depends on distributed responsibility, shared leadership, and collective engagement in sociocognitive load.Demands and time are substantive; benefits to facilitators are not always clear, initially. Cognitive collective responsibility elevated agency of belief-mode and design-mode Knowledge Building for improvement in palliative care practice.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.534
Teacher spread0.449 · 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