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El impacto de la cooperación internacional en el ecoturismo Kuna : un estudio en la perspectiva del decrecimiento

2024· article· es· W4396655055 on OpenAlexaff
Vildan Bahar Tuncay

Bibliographic record

VenueÉtudes caribéennes · 2024
Typearticle
Languagees
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

Tradicionalmente, el turismo kuna ha sido estudiado bajo el prisma de la gobernanza kuna y su resistencia para preservar su patrimonio biocultural. En otras palabras, el marco para el análisis de la gestión turística kuna ha sido la larga historia de resistencia indígena a las políticas de aculturación y asimilación de los Estados-nación latinoamericanos. El estudio tiene el objetivo de posicionar la gestión turística kuna en general, y el ecoturismo kuna específicamente, en los debates animando los estudios turísticos pospandémicos en torno a los conceptos de posdesarrollo y decrecimiento. Para hacerlo, primero, se realizó una revisión de los proyectos o iniciativas ejecutados en la comarca entre 1979 y 2023, surgidos de la cooperación internacional con el objetivo de observar el tipo de proyectos ejecutados en materia turística y la autonomía kuna en el establecimiento de las prioridades de desarrollo frente a las tendencias a escala internacional. Después, se hizo una lectura de los proyectos llevados a cabo desde la perspectiva decrecencista para ver si los aspectos trabajos permiten concluir la presencia de un modelo de desarrollo alternativo al crecimiento.

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 score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.007
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.312
Teacher spread0.304 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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