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Record W4385423502 · doi:10.18280/ijsdp.180719

Accessible Tourism: A Bibliometric Analysis from 2000 to 2021

2023· article· en· W4385423502 on OpenAlexvenueno aff
Lola Hernández-Sales, José Antonio López Sánchez

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsTourismRegional scienceGeographyLibrary scienceComputer scienceArchaeology

Abstract

fetched live from OpenAlex

The term "Accessible Tourism" was first used in 1989. This term has the characteristic of being transversal. The aim of this work is to find out the current state of scientific production in this area of tourism in order to be able to answer future questions and identify new lines of research. To this end, we have carried out a bibliometric analysis covering the first two decades of this century. After defining the keywords, a search was carried out in Web of Science and the results were analysed quantitatively and qualitatively using VOSviewer. This analysis shows that from 2018 onwards, publications increased considerably, reaching a peak in 2020, mostly in the areas of geography and economics, as research in the area of tourism is still very recent. The number of authors is reduced to around twenty, with one of them standing out significantly in terms of number of publications and citations. The conceptual analysis shows the variety of terms used by researchers and how they have evolved over time, the most commonly used being "people" and "disability", with others appearing such as "inclusive tourism" connected to "management" or "sustainable tourism", which are more akin to current management.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics, Insufficient payload (model declined to judge)
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0580.038
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.344
Teacher spread0.313 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2023
Admission routes1
Has abstractyes

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