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Record W1963427992 · doi:10.1002/sd.1562

The Primacy of Climate Change for Sustainable International Tourism

2013· article· en· W1963427992 on OpenAlexaff
C. Michael Hall, Daniel Scott, Stefan Gössling

Bibliographic record

VenueSustainable Development · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTourismSustainabilityClimate changeSustainable developmentSustainable tourismTourism geographyEcotourismBusinessNatural resource economicsPolitical scienceEconomicsEnvironmental resource management

Abstract

fetched live from OpenAlex

ABSTRACT International tourism is portrayed by many agencies and governments as a significant contributor to sustainable development strategies. The economic impacts of international tourism are undoubtedly substantial; however, they need to be framed within a broader understanding of impacts throughout the tourism system. Emissions from tourism and their contribution to climate change therefore set a potentially major challenge for the sustainability of international tourism. Following an examination of the current and forecast growth of emissions from international tourism and the policies and strategies of lead bodies, industry and national governments, tourism is seen as grounded in a pro‐growth paradigm that offers no hope within the foreseeable future of absolute reductions in emissions. Given the potential implications of this finding, it is concluded that a significant reassessment is required of the potential benefits of tourism for sustainable development. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment

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)0.002
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.001

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 head0.021
GPT teacher head0.318
Teacher spread0.297 · 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

Citations142
Published2013
Admission routes1
Has abstractyes

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