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Record W7100765318

Impacts of Visitor Spending on the Local Economy: Joshua Tree National Park, 2004

2006· article· en· W7100765318 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsVisitor patternTRIPS architectureQuarter (Canadian coin)National parkTourismLocal community
DOInot available

Abstract

fetched live from OpenAlex

outside the local area not staying overnight within the local region, and 58 % are visitors staying overnight in the local area. About a quarter of visitors were campers and 21% stayed in area motels, hotels, cabins, or BB’s. The average visitor group spent $162 in the local area. Visitors reported expenditures of their group inside the park and in the surrounding communities (Yucca Valley, Joshua Tree, and Twenty-nine Palms. On a party trip basis, average spending in 2004 was $54 for non-local day trips, $351 for visitors in motels, $200 for campers and $136 for other overnight visitors. On a per night basis, visitors staying in motels spent $216 in the local region compared to $86 for campers. The average per night lodging cost was $104 per night for visitors in motels and $11 for campers. Total visitor spending in 2004 within 50 miles of the park was $36 million including $4.8 million inside the park. Twenty-three percent of the total spending was for lodging, 18 % restaurant meals and bar expenses, and 15 % gas and oil.. Overnight visitors staying in motels accounted for 43 % of the spending, campers 22 % and non-local day trips 21%.

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 score0.234
Threshold uncertainty score0.465

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.022
GPT teacher head0.297
Teacher spread0.275 · 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
Published2006
Admission routes1
Has abstractyes

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