The New Responsible Tourism Paradigm: The UNWTO’s Discourse Following the Spread of COVID-19
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.069 |
| Scholarly communication | 0.014 | 0.017 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".