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Record W3130014825 · doi:10.1177/1467358421993864

Glamping after the coronavirus pandemic

2021· article· en· W3130014825 on OpenAlexaboutno aff
Christopher A. Craig, Ismail Karabas

Bibliographic record

VenueTourism and Hospitality Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureAccommodationCoronavirus disease 2019 (COVID-19)PandemicDemographicsTourism2019-20 coronavirus outbreakBusinessSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)GeographyMarketingAdvertisingSocioeconomicsTransport engineeringMedicinePsychologyEngineeringSociologyDemographyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Glamping is an increasingly popular and accessible modern form of camping. To address current and future impacts of COVID-19 on glamping, 2926 active leisure travelers in the US and Canada were surveyed. Respondents were asked about post-COVID-19 glamping trip plans and hotel/resort trip plans for comparison. Independent variables of interest include 2019 accommodation experiences, 2020 accommodation plans prior to COVID-19, and socio-demographics. Results indicate more active leisure travelers have plans to take glamping trips (45.9%) after COVID-19 when permissible than hotel/resort trips (24.7%). The results highlight that the broad accessibility of glamping make it a viable leisure travel alternative during and after the pandemic.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.161
GPT teacher head0.466
Teacher spread0.305 · 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 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

Citations91
Published2021
Admission routes1
Has abstractyes

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