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Record W3036522841 · doi:10.29040/ijebar.v4i02.963

MOTIVATION MODEL DISTORTION OF RAMAYANA BALLET PERFORMERS

2020· article· en· W3036522841 on OpenAlexaff
M.Kes Dra. Peni Suharti, Cahyani Tunggal Sari, Sulihanto Sulihanto

Bibliographic record

VenueInternational Journal of Economics Business and Accounting Research (IJEBAR) · 2020
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsBalletPsychologySalaryPromotion (chess)Social psychologyVisual artsArtDancePolitical science

Abstract

fetched live from OpenAlex

This study reviews the conventional setting of Herzberg Two-Factors Theory and compare with research findings in the Ramayana Ballet show. This research is was done by observation and interview process. This study is a qualitative research that combines historical methods and economics research background. The hygiene factors consist of salary, company policy, good interpersonal relationship and quality of supervision, job security, working condition, and work life balance. The motivation factors consist of personal status, challenging, promotion, responsibility, and growth. This study shows that almost all art groups of Ramayana ballet have high hygiene factor and low motivation. but this findings still led to the high engagement of the artists towards Ramayana ballet show and it was proven by the existence of the art group and the Ramayana ballet show. Implementation of Two Factor Theory Herzberg in the arts group shows different with the factors that have been formed by Herzberg. The artists’ engagement from the art group Ramayana Ballet shows different characteristics.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.121
GPT teacher head0.348
Teacher spread0.228 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2020
Admission routes1
Has abstractyes

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