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Record W2011753483 · doi:10.1108/13665620410521503

Learning in two communities: the challenge for universities and workplaces

2004· article· en· W2011753483 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 Workplace Learning · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsGraduation (instrument)InternshipCertificationMedical educationWork (physics)Allied health professionsOccupational therapyPsychologyPedagogySocial workPolitical scienceMedicineHealth careEngineering

Abstract

fetched live from OpenAlex

This article reports on a longitudinal study of school‐to‐work transitions in four professions: education, social work, physiotherapy, and occupational therapy. Each of these professions is characterized by the need for an undergraduate degree for certification; extensive, supervised internships before graduation; and, to a greater or lesser extent, supervision for beginning professionals after graduation. Students in their last years of university, beginning professionals in their first years of practice, and the experienced practitioners who supervise both these groups were interviewed. The article draws on theory and data to help explain why the move from classroom to workplace is often so difficult, and make recommendations to stakeholders in the training and induction of new practitioners in these professions. The recommendations may be extrapolated to other 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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.053
GPT teacher head0.391
Teacher spread0.339 · 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