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Record W4405644700 · doi:10.61520/et.2282024.1251

ISTO

2024· article· es· W4405644700 on OpenAlexaboutno aff
Charles-E. Bélanger, Verónica Gómez

Bibliographic record

VenueEstudios Turísticos · 2024
Typearticle
Languagees
FieldEnvironmental Science
TopicFinance, Taxation, and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials science

Abstract

fetched live from OpenAlex

La Organización Internacional de Turismo Social (ISTO) tiene como misión principal promover el desarrollo de un turismo para todos, solidario y sostenible. En el marco de la celebración de sus sesenta años en 2023, se presentó un nuevo texto de referencia sobre la sostenibilidad social del turismo. Ese texto, que constituye la segunda Adenda a la Declaración de Montreal por una visión social y humanista del turismo, adoptada en 1996, afirma que la sostenibilidad social del turismo es el punto central que actúa como elemento de palanca para activar los otros dos pilares; el económico y el medioambiental. La Adenda presenta una definición de lo que se entiende por sostenibilidad social de turismo, los criterios de su evaluación subdivididos en cinco grandes categorías así como los compromisos de ISTO. La evolución de ese trabajo, que involucra a todos los actores del sector turístico, refleja la importancia para dar prioridad a un turismo cualitativo que beneficia a todas las partes. En resumen, el artículo presenta una definición y los ámbitos de acción de la sostenibilidad social en turismo, así como una propuesta de indicadores por cada uno de ellos.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.407
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0040.001
Scholarly communication0.0110.006
Open science0.0030.006
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.5930.437

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 head0.007
GPT teacher head0.227
Teacher spread0.220 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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