Engaging the rural communities of Sri Lanka in sustainable tourism
Bibliographic record
Abstract
Purpose – This paper aims to explains how rural communities in Sri Lanka are responding to the challenges of high unemployment and low household income in a post-conflict society and to explore the possibilities for engaging rural communities in sustainable tourism development as part of their response. Design/methodology/approach – The paper outlines how the South Asian Academy for Good Governance (SAAGG) is using action learning to enable participants to better utilize the resources available to them. It also draws on discussions with community leaders about harnessing this approach to industry training and the resource challenges arising from the Government's strategy for in-bound tourism. Findings – The following are outlined: a framework for self-directed development in rural communities; why rural communities with a long tradition of subsistence farming are reluctant to participate in tourism development; and a community-driven approach to sustainable tourism that could yield benefits for the whole community and at the same time, preserve the traditional way of life. Practical implications – The paper highlights: an approach to capacity building that assists in the creation sustainable micro enterprise; and the need for innovative thinking and action to mobilize rural communities in support of Sri Lanka's drive to become a leading Asian tourist destination. Social implications – The study provides an example of sustainable development that could be replicated by rural communities in other locations. It also identifies the pivotal role of rural community members in providing an authentic tourism experience for international tourists and poses some questions about the best way(s) to engage with this group. Originality/value – Indigenous culture and traditional ways of learning are drawn on to explain how subsistence communities can develop and implement a business approach that enables them to achieve greater self-reliance and financial independence. The paper also draws on the views of community leaders who are actively involved in facilitating community-based learning and development.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".