Strategies for Organization and Development of Tourism Function in Rural Areas Case Study: Villages of Qom Province, 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
Regarding its appeals and capacities, tourism function of rural areas in Qom province has not adequately played an effective role in advancing rural sustainable development. Therefore, the current research attempts at identifying and preparing organization and development strategies for tourism function in rural areas of Qom province. Research method is descriptive-analytical and it is applied in terms of its content. The present study aims at searching for organization and development strategies and approaches for tourism function in rural areas of Qom province with special emphasis on existent potentials and restrictions. For so doing, using SWOT technique, strengths, weaknesses, opportunities and threats related to tourism function of rural areas in Qom province have been investigated. Findings indicate that 12 internal strengths and 12 internal weaknesses as well as 10 external opportunities and 9 external threats influence greatly on tourism function of rural areas. In the research presented here, research sample consists of 145 managers and experts of Qom province. Then, their ideas are received and recorded. After that, using one sample t-test, the influence of those two environments on organization and development of rural regions’ tourism function is analyzed. Results obtained from findings analysis reveal that both components of external environment and internal environment do greatly influence on organization and development of tourism function. Compatible with analysis content, efficient strategies are derived and ranked. Ultimately, WO strategies are considered as first priority for planning and SO strategies as second one.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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