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Record W2003466651 · doi:10.1080/14623943.2014.944140

Professional artistry revealed: business professors’ use of reflection in their teaching

2014· article· en· W2003466651 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

VenueReflective Practice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsReflection (computer programming)PedagogyReflective practicePsychologySociologyProfessional developmentMathematics educationComputer science

Abstract

fetched live from OpenAlex

This qualitative study explores how business professors describe, understand, and use reflection in their teaching practices to better understand their professional artistry. The study has three principle aims: first, to examine the use of a conceptual model of reflection-in- and -on-action in business professors' teaching practices; second, to explore the factors, feelings, actions, and consequences of business professors' reflection; and last, to understand how business professors learn, develop, and sustain their reflective practice. The data were collected from structured interviews conducted with 11 experienced business professors after viewing self-selected incidents on video of their teaching. The data indicated that while each professor's reflective practice is unique there are commonalities in reflection across participants. The unique and common aspects of reflection discovered in this study suggest: reflection as framing an experiment; reflection as emotional interaction; reflection as development; reflective practice as a system; and reflection as artistry revealed.

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)0.007
metaresearch head score (Gemma)0.059
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.059
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.005
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 head0.085
GPT teacher head0.464
Teacher spread0.379 · 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