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Record W2049767725 · doi:10.1177/1052562908328920

Developing Students' Emotional Competency Using the Classroom-as-Organization Approach

2008· article· en· W2049767725 on OpenAlexaff
Beth Sheehan, Mark A. McDonald, Kirsty Spence

Bibliographic record

VenueOrganizational Behavior Teaching Review · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsBrock University
Fundersnot available
KeywordsExperiential learningPsychologyEmpirical researchEmpirical evidencePedagogyManagement developmentMathematics educationManagement

Abstract

fetched live from OpenAlex

In management education, the classroom-as-organization (CAO) approach to teaching has been a topic of much discussion and debate. Given the authors' experiences in teaching sport event management, it is known that the CAO approach helps students develop greater self-confidence, greater self- and social awareness, and a greater understanding of what it is like to work in an organization. Until recently, however, the authors never examined how this approach impacts their students, nor did they have empirical evidence that the above outcomes are ever met. The primary purpose of this article is to outline the CAO pedagogy and complementary experiential learning activities used to develop students' emotional competency. In fulfilling this purpose, the authors present evidence from this study that provides empirical support for the continued and increased use of the CAO pedagogy in management education.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.039
GPT teacher head0.296
Teacher spread0.257 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations44
Published2008
Admission routes1
Has abstractyes

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