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Record W4387173143 · doi:10.61520/et.1361998.784

El Desarrollo del turismo rural a través del programa LEADER I

2023· article· es· W4387173143 on OpenAlexaff
Rosa María Yagüe Perales

Bibliographic record

VenueEstudios Turísticos · 2023
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsImpact
Fundersnot available
KeywordsPolitical scienceHumanitiesRural developmentGeographyArtAgriculture

Abstract

fetched live from OpenAlex

La Comunidad Europea desde finales de los ochenta ha tomado conciencia de la necesidad de acelerar el desarrollo socioeconómico de las zonas rurales comunitarias. Por dicho motivo, en 1990 se adoptó una Iniciativa Demostrativa de desarrollo rural denominada Leader. Con dicha iniciativa se pretendía fomentar el desarrollo de las áreas rurales bajo la forma de programas globales y responder así a toda una serie de problemas que se han convertido en serios condicionantes y estrangulamientos para el desarrollo económico en el mundo rural. Tras presentar los objetivos y operatoria del Leader, pasamos a examinar y valorar el efecto del programa Leader I en la Comunidad Valenciana y especialmente en la comarca castellonense de Els Ports.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.023
GPT teacher head0.261
Teacher spread0.238 · 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 teacher head, not a consensus.

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
Published2023
Admission routes1
Has abstractyes

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