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Record W2146643548 · doi:10.5430/bmr.v1n4p141

The Recreational Value of Bama in China: One of the Five World’s Longevity Townships

2012· article· en· W2146643548 on OpenAlexvenueno aff
Yaping Liu, Linlin Nie, Bei Liao

Bibliographic record

VenueBusiness and Management Research · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsBamaRecreationChinaTourismValue (mathematics)Partition (number theory)LongevityGeographyStatisticsMathematicsPolitical science

Abstract

fetched live from OpenAlex

The recreational value of Bama Area in China is estimated to be 2.73 hundred millions dollars in 2009 via a revisionary travel cost method (TCM) in this paper. To make the estimation more applicable to the case of Bama, one of the five top longevity townships in the world, this paper adopts a new partition method and revises two calculation principles. Firstly, the conventional zonal travel cost method is amended to divide tourists by their travel cost instead of geographical or administrative zones. Secondly, the cost of tourists for different duration in Bama is calculated respectively. For short-term tourists, travel cost is estimated with the opportunity cost coefficient 1/3. The opportunity cost of the long-term tourists is replaced by their daily board and lodging cost in Bama. Thirdly, the total recreational value only covers special visits to Bama but excludes multi-destination visits. With the three modifications, it is plausible that the recreational value of Bama estimated in this paper reflects more objectively the resource characteristics and real value of the site.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.411
Threshold uncertainty score0.153

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.191
GPT teacher head0.286
Teacher spread0.094 · 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.

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

Citations3
Published2012
Admission routes1
Has abstractyes

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