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Record W4220756337 · doi:10.33423/jhetp.v22i2.5060

Integrating Mindfulness Meditation Into the Organizational Behaviour Curriculum

2022· article· en· W4220756337 on OpenAlexaff
Neil Rothenberg, Talia Emanuel

Bibliographic record

VenueJournal of Higher Education Theory and Practice · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMindfulnessMeditationPsychologyTeamworkMindfulness meditationIntervention (counseling)CurriculumApplied psychologyPerceptionSet (abstract data type)PsychotherapistSocial psychologyClinical psychologyPedagogyManagementComputer science

Abstract

fetched live from OpenAlex

There is a body of evidence demonstrating the positive relationship between mindfulness and a range of Organizational Behaviour (OB) based skills and capabilities. These include perception, emotional regulation, stress management, ethical decision-making, and teamwork. Based on this research, a 10- module introductory mindfulness program was developed for use in Organizational Behaviour classes. This program was successfully introduced to undergraduate, organizational behaviour classes, and was found to ‘set the stage’ for student participation and reduce stress for 72% of participants. This article expands on existing research on targeted mindfulness intervention programs through the development and initial testing of an OB-specific program.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.286
Teacher spread0.278 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations2
Published2022
Admission routes1
Has abstractyes

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