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Record W2094208330 · doi:10.1108/13665620310468432

Workplace learning and the metacognitive functions of routines

2003· article· en· W2094208330 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 · 2003
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsQueen's University
Fundersnot available
KeywordsMetacognitionPsychologyCognitionLearning theoryFace (sociological concept)Mathematics educationPedagogyCognitive psychologySociology

Abstract

fetched live from OpenAlex

In the face of research that shows that workplace knowledge and learning are highly contextual, calls for the teaching of generalizable skills for the workplace have been widespread. While the authors reject the usefulness of teaching generalizable skills, they believe that there are commonalities in workplace knowledge that can be taught. These commonalities are related to metacognition rather than simple cognition, and the approach in this paper is to explore the potential of metacognitive instruction for workplace learning. Specifically, the concept of routines is used to develop an instructional theory derived from the inherent metacognitive functions of routines themselves. The paper draws upon contemporary cognitive theory and on recent research on workplace learning, and it builds on studies the authors have conducted on learning in the workplace and on the observation of routines at work.

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)0.013
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.022
GPT teacher head0.341
Teacher spread0.319 · 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