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Record W4236570980 · doi:10.32920/ryerson.14646762.v1

Knowledge and Interpretation of Sustainable Tourism in the Annapurna Conservation Area, Nepal: A Comparison of Key Stakeholder Groups and Implications for Sustainable Tourism Management

2021· preprint· en· W4236570980 on OpenAlexaff
Caroline Wrobel

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of GuelphToronto Metropolitan University
Fundersnot available
KeywordsTourismStakeholderSustainable tourismInterpretation (philosophy)SustainabilityNatural resourceSustainable developmentResource (disambiguation)BusinessEnvironmental resource managementGeographyMeaning (existential)Environmental planningPolitical sciencePublic relationsEcologyEconomics

Abstract

fetched live from OpenAlex

The concept of sustainable tourism (ST) has emerged as an alternative to mass tourism and it is increasingly applied to protected areas given the dual challenges of protecting the natural resource base while also meeting the demands of tourism. For its success, however, tourism stakeholders should have access to ST information and a shared understanding of the concept’s meaning. This study examines the knowledge and interpretation of the ST concept and the important channels and sources of ST information of four key stakeholder groups in the Annapurna Conservation Area, Nepal. Semi-structured interviews were conducted with 55 participants in three sites located along the most popular trekking routes with economies heavily reliant on tourism. Qualitative analysis revealed important differences in knowledge and interpretations of ST among stakeholders and identified how these differences are shaped by available channels of ST information. The implications on ST development and management are explored and discussed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.008
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.074
GPT teacher head0.373
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2021
Admission routes1
Has abstractyes

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