Supply of Accommodation Services by Means of Shared Accommodation in the Tourist Region Česká Kanada (Bohemian Canada)
Bibliographic record
Abstract
The diploma thesis is focused on shared accommodation in the tourist area of Czech Canada. The aim is to evaluate selected factors of competitiveness of the offer of shared accommodation services with regard to the location of tourism attractions and the offer of accommodation facilities. The data was obtained from the created Accommodation Database and the Airbnb portal. It was found out how many objects of shared accommodation are located in the tourist area of Czech Canada and analyzed their distance from the attractions of tourism against official accommodation. Selected competitiveness factors were evaluated first with respect to all objects and official accommodation facilities, and then within 20 kilometers of the selected attractions. The price was also analysed and the biggest perceived benefits of shared accommodation were identified. The outputs of the analyses and the own observation in the issue enabled the elaboration of proposals and recommendations leading to a possible increase in the competitiveness of shared accommodation in the Czech Canada tourist area.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| 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 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".