The growth of micro, small, and medium-sized hotel enterprises: the roles of the state.
Bibliographic record
Abstract
The tourism sector has been described with the active participation of multinational corporations and large locally based business establishments. However, there is still a place for smaller businesses, as the literature holds that the sector is dominated by a huge number of small businesses. This article aims to elucidate the factors that shape the development of these small businesses, beginning with an understanding of the state's roles in such ventures. Secondary data, together with first-hand information from in-depth interviews with policy makers and practitioners, form the basis of the authors’ arguments. Findings suggest that tourism is viewed as a progressive and important industry by both central and local governments. Policies such as the extension of capital, marketing or promotion, and the provision of training programs help to nurture the growth of micro, small, and medium-sized hotels. Nevertheless, some of these provisions and the ways in which they were implemented need to be re-evaluated...
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".