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Record W2491970095 · doi:10.2495/sdp-v11-n3-375-384

Resident perceptions of sustainable tourism in maine

2016· article· en· W2491970095 on OpenAlexvenueno aff
Matt D. Scaccia, Sandra De Urioste-Stone

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismEnvironmental planningSustainable tourismPerceptionSustainable developmentBusinessEnvironmental resource managementGeographyPolitical scienceEnvironmental sciencePsychologyArchaeology

Abstract

fetched live from OpenAlex

Tourism has long played a central role in the economy, culture, and livelihoods of the people of the State of Maine. The long-term sustainability of this industry in the state is crucial for the current and future prosperity of both businesses and residents. Sustainable tourism has emerged as a key concept over the past few decades and its tenets have clear applicability within the state. Research on residents' perceptions of tourism impacts and development suggest these assessments to be highly important if a community's tourism industry is to be successful and sustainable in the long term. This study used the SUS-TAS scale modified by Sirakaya (2007) to explore the perceptions of residents who participate in outdoor recreation about sustainable tourism at the state level, and determine if attitudinal differences exist across demographic groups. An online survey was used to assess perceptions following Dillman's 'tailored design method' to refine the overall quality of the instrument, and increase response level. The sample consisted of Maine resident outdoor recreation users. Factor analysis with varimax rotation revealed that seven-factor categories on residents' attitudes of sustainable tourism accounted for 65.7% of the variance in the responses. The factor on residents' perceived social costs of tourism accounted for more of the total variance than any of the other six factors. The results of this research will provide new insights into essential needs for tourism planning in Maine.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0000.000
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 head0.019
GPT teacher head0.322
Teacher spread0.304 · 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 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

Citations13
Published2016
Admission routes1
Has abstractyes

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