Residents’ support for tourism development: Investigating quality-of-life, community commitment, and communication
Bibliographic record
Abstract
This study argues that when overall tourism impacts are positive, residents’ quality of life (QOL) increases, thereby positively affecting their attitudes towards tourism initiatives. The study also identifies several other important relationships that have been ignored in the literature. First, QOL may be a crucial push factor for community commitment, which in turn can trigger support for additional tourism development. Second, communication with tourists may moderate the links between QOL, community commitment, and tourism support. Data were collected from 468 residents living in Manavgat, Turkey and analyzed using structural equation modeling and Hayes’s PROCESS macro. The findings show that as the perception of the positive effects of tourism increases, opinions about the QOL will also be optimistic. Importantly, QOL strengthens both tourism support and community commitment. Additionally, community commitment mediates the link between QOL and attitudes towards tourism development. Finally, community commitment increases support for tourism, which is stronger for residents who communicate more with tourists.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".