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Record W2784826622 · doi:10.1344/ara.v2i1.18970

Demanda y participación de responsabilidad social corporativa y turismo sostenible – Implicaciones para el Caribe

2017· article· es· W2784826622 on OpenAlexaff
Rachel Dodds, Marion Joppe

Bibliographic record

VenueAra · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsUniversity of GuelphToronto Metropolitan University
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

Existe abundante literatura sobre la necesidad de un turismo sostenible, pero existen relativamente pocos autores que hayan examinando su aplicación práctica y sus implicaciones en regiones específicas del mundo. Este estudio tiene como finalidad identificar y evaluar las prácticas de responsabilidad social corporativa en el sector turístico y los códigos de conducta, tanto los publicados por organizaciones internacionales o no gubernamentales, como los incorporados por las propias empresas. El estudio también intenta determinar la demanda de turismo sostenible. Al identificar la situación actual de la sostenibilidad dentro de la industria del turismo, es posible determinar cuáles son las acciones n necesarias para promover el programa, especialmente en regiones tales como el Caribe. La cuestión surge por primera vez como parte de un estudio más extenso, realizado para el Banco Mundial/CorporaciónFinanciera Internacional (Dodds & Joppe, 2005), sin embargo, este estudio tenía mayor alcance con respecto al acceso a los mercados turísticos de los países menos desarrollados.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.091
GPT teacher head0.444
Teacher spread0.353 · 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
Published2017
Admission routes1
Has abstractyes

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