The Effects of Rural Tourism on Sustainable Livelihoods (Case Study: Lavij Rural, Iran)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Using a quantitative methodology and questionnaire, this study sought to evaluate the impacts of tourism on sustainable livelihoods of local people of Lavij rural in Iran. Data collected from 230 local residents of the study area were analyzed using Pearson’s correlation and linear regression. The results show that rural tourism has been able to play an effective role in sustainable livelihoods of people and there is a significant relationship between the development of rural tourism and sustainable livelihoods in Lavij. Rural tourism can predict a high percentage of changes in people’s livelihoods sustainability. Therefore, with a proper planning, rural tourism can be used to development of sustainable livelihoods, quality of people's lives, job opportunities and poverty reduction.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it