MétaCan
Menu
Back to cohort
Record W1984240940 · doi:10.1080/09669581003668540

Adapting to climate change and climate policy: progress, problems and potentials

2010· article· en· W1984240940 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.

Bibliographic record

VenueJournal of Sustainable Tourism · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsClimate changeSummitTourismPolitical economy of climate changeSustainable tourismPolitical scienceNegotiationSustainable developmentPoliticsEnvironmental resource managementEconomicsGeography

Abstract

fetched live from OpenAlex

This introductory paper discusses tourism's role in relation to climate change mitigation and adaptation, at a time when climate change is at the forefront of many political discussions, including the 2009 Climate Summit in Copenhagen, and many business decisions. The development of tourism research in response to climate change in the past 25 years is outlined and limitations are identified. The paper also argues that while growing engagement with the challenge of climate change is evident across the tourism industry, this is still limited and not widespread. The minor role played by tourism interests in the international climate negotiations in Copenhagen is noted and discussed. Questions are raised around the willingness and ability of both the tourism industry and tourists to significantly reduce global emissions. The papers brought together in this Special Issue (Journal of Sustainable Tourism, 18.3) both highlight key challenges that tourism faces in its attempts to better understand and manage the problem of climate change, and suggest valuable ways forward.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.029
GPT teacher head0.327
Teacher spread0.298 · 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