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Record W2279223568 · doi:10.1016/j.cliser.2016.01.002

Implications of 2 °C global warming in European summer tourism

2016· article· en· W2279223568 on OpenAlex
Manolis Grillakis, Aristeidis Koutroulis, Konstantinos Seiradakis, Ioannis K. Tsanis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClimate Services · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsMcMaster University
FundersSeventh Framework ProgrammeEuropean Commission
KeywordsTourismClimate changeGeographyGlobal warmingMediterranean climateClimatologyClimate modelPhysical geographyEnvironmental scienceEcology

Abstract

fetched live from OpenAlex

Tourism is highly dependent on the climatic conditions of a given destination. This study examines the impact of two degrees global warming on European summer tourism from a climate comfort perspective. The changes in summer tourism climate comfort are realized with the aid of the Tourism Climatic Index (TCI). Four ENSEMBLES Regional Climate Models (RCMs) provided the data for Europe under the A1B emission scenario that are used in the analysis of potential changes in tourism favorability. Results show that the change in climate will positively affect central and northern Europe, increasing the potential of further economic development in this direction. Mediterranean countries are likely to lose in favorability during the hot summer months whereas will tend to become more favorable in the early and late summer seasons. Considering that the two degrees period is focused between 2031 and 2060, the estimated shifts in the climate favorability of Mediterranean countries indicate a need in early adaptation strategies.

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.

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)0.000
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 score0.372
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.354
Teacher spread0.321 · 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