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Record W2551109221

TOWARD A MODEL OF BALANCED TOURISM DEVELOPMENT ON BAFFIN ISLAND

2016· article· en· W2551109221 on OpenAlexaboutno aff
Mark J. Okrant, Donna Larsen

Bibliographic record

VenueScholarworks (University of Massachusetts Amherst) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismCruiseHAMLET (protein complex)IndigenousArcticTourism geographyCultural tourismGeographyPolitical scienceMarketingBusinessEngineeringArchaeologyEcology
DOInot available

Abstract

fetched live from OpenAlex

A desired outcome of indigenous tourism is culture- or nature-based experiences that hosts and guests are willing to accept and share. However, researchers warn there is a paradox between bringing new economic opportunities into a culture area and sustaining the local culture. This hybrid study investigates three research questions: (1) what forms of tourism have evolved during seven years of existence of Nunavut Territory where tourism is a new industry, the culture traditional, and the environment pristine; (2) how has tourism impacted hamlet life on Baffin Island; and ultimately, (3) how can research findings be utilized to guide tourism providers, marketers, visitors, and host hamlets to develop a product that is economically beneficial but does not undermine the environmental and cultural fabric of the region? This undertaking uses elements of both practitioner and academic research: analysis of the Nunavut Pleasure Traveler Exit Study; pre-visit and post-visit focus groups with first-time visitors to Arctic hamlets aboard the cruise ship MV Explorer; chronicled reflections of visitors to Arctic communities with a minimum of one prior hamlet experience; interviews with Nunavut Tourism, Parks Canada, as well as hamlet and Inuit cooperative officials; interviews of cruise ship operators; a literature search; and empirical observation of cultural and tourism landscapes in Kimmirut and Kinngait. This is the first stage of an on-going applied research effort.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.263
Teacher spread0.220 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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