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Record W2224386979 · doi:10.1057/palgrave.thr.2007.17

Cruise Operations Management

2008· article· en· W2224386979 on OpenAlexaff
Gregory S. Szarycz

Bibliographic record

VenueTourism and Hospitality Research · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCruiseTourismHospitalityBusinessMarketingWork (physics)Hospitality industryService (business)Human resource managementHospitality management studiesPublic relationsManagementPolitical scienceEngineeringEconomics

Abstract

fetched live from OpenAlex

Philip Gibson's monograph provides a comprehensive overview of the hotel, restaurant and corporate office sides of managing a cruise line and cruise ship and its associated systems. Taken as a whole, this book provides a much welcome addition to the area of management of hospitality and tourism enterprises, and in particular in the cruise sector. With its focus on the service economy, this book meets a long overdue need for a text on hospitality management processes and issues facing the cruise services sector. It is designed for newcomers and veterans alike, interested in developing or shaping their perspectives on cruise tourism and managerial work in tourism studies. It is relevant both as a textbook for degree-level programmes on tourism and as an important reference for human resource practitioners who are keen to be informed of the discussion of impacts and issues in modern cruise tourism management.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
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 head0.123
GPT teacher head0.412
Teacher spread0.289 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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