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Record W3167485633 · doi:10.3390/tourhosp2020015

The New Responsible Tourism Paradigm: The UNWTO’s Discourse Following the Spread of COVID-19

2021· article· en· W3167485633 on OpenAlexaff
Sabrina Tremblay-Huet, Dominic Lapointe

Bibliographic record

VenueTourism and Hospitality · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsUniversité du Québec à MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsTourismAgency (philosophy)SociologyBiopowerPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

The UNWTO’s discourse has focused on managing the effects of COVID-19 on tourism mobility since the outbreak was taken over by the WHO, as tourism is prominent amongst the hardest hit sectors. Emanating from the UNWTO as one of the dominant stakeholders in tourism discourse construction, an interesting component is the new meaning attributed to ‘responsible tourism’, which coincides with severe sanitary measures in this moment. Through critical discourse analysis and the theoretical framework offered by Iris Marion Young on responsibility for justice, this article will first demonstrate how the reappropriation of the term is in line with the UNWTO’s neoliberal perspective on tourism. The result is the promotion of sanitary measures for the protection of tourism as a consumer industry, rather than for the protection of the individuals involved. It is also cementing the pedestal on which the UN agency places the tourist-consumer, namely through the International Code for the Protection of Tourists project. This paper closes with thoughts on how the emerging dominant discourse on responsible tourism is internalized by tourism stakeholders as the new normal, which would gain in being explored through the lens of Foucault’s work on the concept of biopolitics and the neoliberal subject.

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 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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.490
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
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 head0.052
GPT teacher head0.439
Teacher spread0.387 · 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 teacher head, not a consensus.

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

Citations21
Published2021
Admission routes1
Has abstractyes

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