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Record W2947132638 · doi:10.1080/09669582.2019.1619748

A critical framework for interrogating the United Nations Sustainable Development Goals 2030 Agenda in tourism

2019· article· en· W2947132638 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 · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTourismSustainable developmentSustainable tourismSustainabilityScholarshipCorporate governanceContext (archaeology)Political scienceSociologyEnvironmental ethicsPovertyTourism geographyEconomic growthEconomicsManagement

Abstract

fetched live from OpenAlex

Research in the area of sustainable tourism continues to grow, however a lack of understanding regarding necessary action inhibits progress. McCloskey’s (Citation2015) critique regarding the failure of the MDGs, as a direct result of a lack of critical consciousness, and understanding of the structural contexts of poverty and under-development, provided the impetus for our work. McCloskey (Citation2015) signals the important role of education in fostering transitions to sustainability. As such, we have applied our critical lens to the 2030 United Nations Sustainable Development Goals. Our paper offers tools for critically thinking through the potential for the SDGs to help shape the tourism industry for more sustainable, equitable, and just futures. We positioned six themes to serve as a conceptual framework for interrogating the SDG agenda in tourism; arising from our considerations of both reformist and radical pathways to sustainable transitions in tourism: critical tourism scholarship, gender in the sustainable development agenda, engaging with Indigenous perspectives and other paradigms, degrowth and the circular economy, governance and planning, and ethical consumption. We address these core themes as essential platforms to critique the SDGs in the context of sustainable tourism development, and highlight the cutting edge research carried out by our contributors in this special issue.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.022
GPT teacher head0.328
Teacher spread0.306 · 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