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Record W2804270824 · doi:10.18374/jims-18-2.4

CIRQUE DU SOLEIL � KA IN LAS VEGAS: SUSTAINABILITY OF A BLUE OCEAN

2018· article· en· W2804270824 on OpenAlexaboutno aff
Hilary Becker

Bibliographic record

VenueJournal of International Management Studies · 2018
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsCirqueLas vegasArtArchaeologyGeographyGeologyGlacial periodPaleontology

Abstract

fetched live from OpenAlex

ABSTRACT Cirque du Soleil is one of the most imaginative and unique shows every created. The brainchild of Guy Laliberté, Cirque has gone from an idea on the busking streets of Quebec, Canada to an International phenomenon with more than 30 shows worldwide, viewed by in excess of 180 million spectators and generating in excess of $1Billion in sales annually. The shows range from touring shows such as Toruk, a tribute to Avatar, to KA; an Asian themed martial art offering staged as a permanent show in Las Vegas, United States. Cirque du Soleil has also been a cornerstone example of the classic Blue Ocean Strategy combining two red oceans to create a new blue ocean. In Las Vegas, Cirque du Soleil offers seven permanent shows; possibly generating its own red ocean. The current paper will examine KA from the perspective of blue ocean strategy to determine if KA is in fact is a Blue Ocean itself within the larger Cirque du Soleil Blue Ocean and evaluate the sustainability of KA in Las Vegas. Keywords Blue Ocean Strategy, Las Vegas, Cirque du Soleil

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)0.000
metaresearch head score (Gemma)0.001
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 score0.124
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.344
Teacher spread0.322 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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