MétaCan
Menu
Back to cohort
Record W1517598772 · doi:10.1108/09596110810866082

Sustainable tourism development in Niagara

2008· article· en· W1517598772 on OpenAlexaffabout
Chandana Jayawardena, Daniel J. Patterson, Chris Choi, Ryan Brain

Bibliographic record

VenueInternational Journal of Contemporary Hospitality Management · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of GuelphNiagara CollegeGeorge Brown College
Fundersnot available
KeywordsTourismSustainable tourismOriginalitySustainabilitySustainable developmentBlueprintTourism geographyBusinessEcotourismDestinationsMarketingPolitical scienceSociologyEngineeringQualitative research

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to provide insights to the relevant past discussions, theories and projects; and sustainable tourism development in the Niagara region. Design/methodology/approach Each of the key four sections of this paper zooms in to specific areas. Outcomes from elite discussions involving 47 experts are followed by a concise literature review on sustainable tourism. The paper then analyses the concept of economic sustainability and reviews the outcomes from a blueprint for sustainable tourism development. Findings This paper discusses the economic pillar of sustainable tourism by outlining the negative and positive economic effects of the worldwide travel and tourism industry. In addition to reviewing the relative competitiveness of the world's travel destinations; with a focus on Canada's performance, it outlines strategies for Niagara region to enhance its competitiveness to support sustainable tourism. Originality/value In the recent years not much research has been carried out on the topic of sustainable tourism specific to the Niagara region. Therefore, this paper should be useful to a range of tourism stakeholders in Niagara region as well as readers involved in regional tourism development in other parts of the world. The versatility of the four authors – an administrator who chaired the Niagara Gateway Project, an academic researcher who has focused on sustainable tourism for a long period, a partner of a leading consulting firm and an applied researcher with significant international experience, makes the paper interesting.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.035
GPT teacher head0.324
Teacher spread0.289 · 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.

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

Citations55
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Contemporary Hospitality ManagementSame topicDiverse Aspects of Tourism ResearchFrench-language works237,207