How Big, How Many? Enterprise Size Distributions in Tourism and Other Industries
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
Tourism often is characterized as being dominated by small- and medium-sized enterprises (SMEs), a characteristic that leads to certain challenges for the sector. This research article examines the degree of the assertion of dominance by SMEs and whether tourism is different than other industry sectors. The distribution of enterprise sizes within specific tourism industries also is examined. The results indicate that the percentage of small firms in tourism is lower than that in the overall business sector and that the percentage of medium-sized tourism firms is slightly higher than in the overall economy. Recreation and entertainment firms display the most uniform dispersal of enterprise sizes, whereas the travel trade shows a very high concentration of SMEs. Some implications of these findings are suggested.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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