TREVPAR’s Rates Development, Average Income and OCC of Brazilian’s Resorts During 2014/2015 Two-Year-Time
Bibliographic record
Abstract
This article talks about the sales performance and income generation of Brazilian resorts based in enterprises associated with the Associação Brasileira de Resorts-ABR (Brazilian Association of Resorts -BAR) during 2014-2015. The article purpose understands how much the circumstantial factors interfere in rates generation in the hotel industry. The sales performance was measured by the occupancy rates related to the income through the TREVPAR’s average income meters. These resorts were analyzed, first, in a general group of performance and, later, were segmented and analyzed into subgroups according to their geographical location – country side or the beach - and the daily rate - all-inclusive or other kind of rates (half board, etc). After rates obtained, it was concluded that the circumstantial and sector factors has strong influence in the resorts income. In addition to the overall performance of sales indices, could be noted that when put into subgroups, the resorts had different performances along the tow-year-period.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".