Resident perceptions of sustainable tourism in maine
Bibliographic record
Abstract
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.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".