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Record W2766704899 · doi:10.7202/1041595ar

The cultural legacy of the frontier lands of Vinalopó (Alicante, Spain) and their tourist use – impossible mission?

2017· article· en· W2766704899 on OpenAlexvenueno aff
Antonio Martínez Puche, Salvador Martínez Puche

Bibliographic record

VenueEthnologies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismFrontierTypologyGeographyEthnographyEconomyCultural heritageSociocultural evolutionPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

“Frontier tourism” or tourisme de partage is a genuine typology of tourism which has these four features: space (geographic), time (historic), experience (motivations and behaviours) and sharing cultural heritage (material or immaterial). The border lands of Alto Vinalopó (Alicante-Spain) have a paradoxical and dual element in the sense that they operate as a territory with common customs and traditions which share many similarities with other territories, but at the same time they show a number of contrasts and peculiarities. Reorganized now as potential tourist attractions, these deep-rooted ethnographic displays are becoming consumable products, which are struggling to find a differential position in the leisure business. This article is aimed at illustrating this process, analysing its sociocultural, economic and promotional variables by considering a particular event: the Moors and Christians festival in Villena. These ancient celebrations convey their own values and signs of identity which have also served to stimulate and diversify the local economy. Besides, after being officially declared in 2015 a national tourist attraction, with the “4th September, All Mad” campaign, this festival has generated challenges, uncertainties and opportunities for tourist development which will demand the right creative strategies and economic management to succeed.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.058
GPT teacher head0.365
Teacher spread0.306 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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