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Record W2079589844 · doi:10.1177/1050651905284396

Look Who’s Talking

2006· article· en· W2079589844 on OpenAlex
Marlee M. Spafford, Catherine F. Schryer, Marcellina Mian, Lorelei Lingard

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 Business and Technical Communication · 2006
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoUniversity of Waterloo
Fundersnot available
KeywordsApprenticeshipMedical educationPsychologyQualitative researchComputer sciencePedagogyMedicineSociologyLinguistics

Abstract

fetched live from OpenAlex

In a pediatric teaching hospital, the authors examined 16 novice medical case presentations that were classified as instances of a hybrid apprenticeship genre. In contrast to strict school and workplace genres, an apprenticeship genre results from the sometimes competing activity systems of student education and patient care. The authors examined these novice case presentations for the amount and patterns of time devoted to student learning and expert teaching, the difficulties created for participants, the sometimes misunderstood implicit messages delivered by experts, and the opportunities to address educational objectives. This study offers professional communication researchers a model that combines quantitative and qualitative methodologies to assess the effects of competing activity systems in the development of communication expertise.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.035
GPT teacher head0.365
Teacher spread0.330 · 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