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Record W3017483590 · doi:10.12775/qs.2020.010

Safety and nature versus tourists, athlets and residents in Sagarmatha National Park Nepal

2020· article· en· W3017483590 on OpenAlexaboutno aff
Agnieszka Brenk, Olga Smoleńska

Bibliographic record

VenueQuality in Sport · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Biological Research in Conflict Zones
Canadian institutionsnot available
Fundersnot available
KeywordsTourismNational parkRecreationGeographyPopularityIndustrialisationNatural (archaeology)Natural resourceEnvironmental protectionPolitical scienceEnvironmental ethicsArchaeologyLaw

Abstract

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The subject of this publication is Sagarmatha National Park located in Nepal, along with the consequences of its popularity among all worlds and the effects of using the environment on selected specific cases. The main purpose of the work is to illustrate the included natural and social conditions as well as the state and perspectives for the development of operational functions in the park. The economic situation of the country will also be presented, taking into account the conditions conducive to the development of inbound tourism.High mountains have now become one of the main collections of scientific research. One of the reasons is the intensive transformation available from the mass nature of qualified tourism or mountain climbing. The world has entered the multifaceted era of 'tourism'. The natural values of the environment are currently covered by one of the basic elements of the supply of the harvest. Man cannot be chased from the mountains! It is necessary to include his harmonized sport, tourism and economic interests with nature protection. Tourism supported and contributes to the development of various forms of nature and environmental protection, which are the first national parks and nature reserves: Yellowstone in the USA founded in 1872, the Royal National Park in Australia founded by the British in modern colonies in 1879 or the second historical Banff National Park in Canada created in 1885. Contemporary forms of environmental protection originate from the romantic west over wild nature and associated with progressive industrialization in the nineteenth century destroying natural ecosystems on an unprecedented scale. Although the ideas of nature protection may already be sought in antiquity for activities that will then be related to religious worship. In China, the first laws on nature protection were announced 4,000 years ago, and in India about 3,000 years ago. The declaration on the protection of forest resources was issued in 1671 by the Danish King Christian V, and 34 years later also by Russian Tsar Peter I. In Poland, the first symptoms of care for forest resources concern the place in 1337, during the reign of Casimir the Great, when he announced statutes prohibiting logging in other people's forests. Conscious protection of the disappearing species in the form of royal law takes place at the end of the 16th century, which provisions protect the forced turns as a result of cutting out large tracts of forests.In Nepal, ecological awareness of the power elites and local people has matured for a long time. Robbery of forest management was widely used, wood for fuel or land was obtained for arable crops. It wasn't until the mid-1960s that King Mahendra issued the first laws on nature protection and provided for penalties for its destruction. The descendant and heir to the throne of King Mahendra - Birendra permanently introduced the protection of natural resources to the country's development plans and in the first year of his reign (1973) he issued the Act on National Parks and Nature Conservation, which took care of a number of animal species and established the first Royal Chitwan National Park. In subsequent years, new national parks and reserves were created in naturally valuable areas. There are 8 national parks in Nepal. The protected areas cover a total of 13% of the area.The inspiration to write this study was data analysis and own observation of both the natural resources of the Sagarmatha National Park, as well as the attitude to the natural environment of its inhabitants as well as athletes and tourists.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.051
GPT teacher head0.345
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2020
Admission routes1
Has abstractyes

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