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Record W7068156495

Nouzové nocování v přírodě a projekt nocovišť v Krkonošském národním parku

2012· dissertation· en· W7068156495 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsNational parkVisitor patternTRIPS architectureCzechWork (physics)CompromiseQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

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...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.496
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.376
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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