Tourism-Led Poverty Alleviation In South Asia – An Analytical Rapportage
Bibliographic record
Abstract
Presently, when the whole world is busy celebrating the technological advancements, accumulated wealth and gains from globalization along with industrialization, poverty continues to stand as a ubiquitous and prevalent predicament in South Asia which is home to a quarter of the world population and nearly one third of the poor people in the world. Albeit, there has been a size-able<br> reduction in the poverty headcount ratio since 1990, about 256 million people remain in absolute poverty in this region. Inequality both in social (e.g. gender, social strata and standard of living) and economical (e.g. per head income, Gini index and wealth distribution) terms is adding fuel to fire. However, the region has shown tremendous progress in tourism thanks to its natural, man-made and cultural endowments. In this paper, the authors have argued that tourism has predominant predicaments to be the panacea for poverty in South Asia. Tourism-led poverty alleviation studies have mostly been carried out in South East Asian context and this paper can bridge this gap. Various<br> initiatives, policies and measures aimed at poverty alleviation through tourism have been highlighted<br> in this paper.
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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 | 0.003 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.006 | 0.014 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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; both teacher heads agree on what is shown here.
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".