Emergency Overnight in Nature and the Project of Shelters in the Giant Mountains National Park.
Bibliographic record
Abstract
Title: Emergency Overnight in Nature and the Project of Shelters in the Giant Mountains National Park. Some forms of outdoor trips include planned overnight under the open sky (bivouac) or in a tent without delay longer in place. This phenomenon (mainly in protected areas) comes into conflict with nature protection and need to find a compromise to satisfy both sides, the visitor and the institution administering the area. The aim of this thesis is to introduce the phenomenon of emergency overnight shelters and the possibilities of camping and bivouacking in nature at home and abroad, to ascertain the awareness of emergency shelters in the Šumava National Park at other Administrations of National Parks and Protected Landscape Areas in the Czech Republic and propose suitable locations for the shelters in the Giant Mountains National Park. Quantitative research was conducted by questionnaire. It examined Administrations of National Parks and Protected Landscape Areas in the Czech Republic. The obtained data were statistically processed in Microsoft Excel and interpreted in graphic and verbal form. Qualitative research was carried out using a structured interview with an employee of the Šumava National Park. Interview focuses on collecting data on the project of emergency shelters in the Šumava...
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".