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Record W2128180987 · doi:10.1177/0047287513481276

The Influence of Culture on Climate Change Adaptation Strategies

2013· article· en· W2128180987 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Travel Research · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsSimon Fraser University
FundersSimon Fraser University
KeywordsAdaptation (eye)TransferabilityClimate changeTourismValue (mathematics)Test (biology)GeographyPsychologyEnvironmental resource managementEconometricsEconomicsEcologyStatisticsBiologyMathematics

Abstract

fetched live from OpenAlex

This study investigates cultural differences in tourist preferences for climate change adaptation strategies of cross-country skiers in Austria and Finland. We used the value orientation approach to empirically test whether this concept is sensitive to skiers’ climate change adaptation preferences in the two respective countries. The comparisons between the two countries were made even more specific with three identical motivation-based segments that accounted for heterogeneity within the respective samples. All comparisons were based on either regular survey questions or on the results of a choice experiment. The results reveal significant differences between skiers for the overall national samples, as well as for numerous comparisons between specific segments. Thus, we conclude that adaptation strategy planning should consider cultural differences and that the transferability of strategies even within the western cultures of Europe is limited.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.408

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 science0.0000.000
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 head0.063
GPT teacher head0.370
Teacher spread0.307 · 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