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Record W2139265218 · doi:10.1080/02508281.2015.1075739

What could the next 40 years hold for global tourism?

2015· article· en· W2139265218 on OpenAlexaff
Daniel Scott, Stefan Gößling

Bibliographic record

VenueTourism Recreation Research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTourismScope (computer science)SustainabilityTourism geographyFutures contractSustainable tourismEcotourismPoliticsEconomic growthRegional scienceEconomic geographyEconomyPolitical scienceEnvironmental resource managementEconomicsGeographyFinanceEcology

Abstract

fetched live from OpenAlex

Over the past 40 years, tourism has developed to become a sector of global economic, social and environmental significance. This paper provides a retrospective overview of the massive expansion and evolving geography of international and domestic tourism over the last 40 years, including the factors that enabled and challenged this growth, in order to contextualize a discussion of what the next 40 years may hold for global tourism. Social, technical, economic, environmental and political dimensions influencing tourism over the past and future 40 years are identified, together with a synthesis of available long-range scenarios of tourism futures to 2050. Comparisons with selected non-tourism scenarios suggest that current assessments of tourism futures are limited in scope, and that the tourism sector may have much to learn from scenario building and forecasting from other economic sectors and analyses of global grand challenges. Reconciling anticipated tourism growth with the sustainability and development imperatives of the next 40 years are discussed.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0070.013
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0140.002

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 head0.297
GPT teacher head0.479
Teacher spread0.182 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations117
Published2015
Admission routes1
Has abstractyes

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