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Record W2909853759 · doi:10.1344/astrolabio2018.22.5

La participación de los stakeholders en los procesos de gobernanza: mito y realidad

2018· article· es· W2909853759 on OpenAlexaff
José Alexander Araújo, Joan Ramos Toledano

Bibliographic record

VenueAstrolabio Revista internacional de filosofía · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Sciences and Policies
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

El presente artículo tiene por objeto analizar los niveles de participación de los stakeholders (interesados) en la toma de decisiones relativas a las políticas de lucha contra la pobreza y la exclusión social en el marco de la Unión Europea. Esta toma de decisiones se articula a través de mecanismos de gobernanza, los cuales son considerados legítimos en la medida en que permiten a los interesados participar activamente en la consideración, adopción e implementación de las políticas. Por ello aquí se pretende determinar cuál es la participación real de los stakeholders en los mecanismos de gobernanza en la UE. Se propone una escala en la que se establecen cuatro niveles distintos de “participación”, desde la mera información hasta el empoderamiento para poder implementar las decisiones tomadas. Los resultados que se exponen en el texto son fruto de diversas entrevistas, cuestionarios y conversaciones con diferentes representantes, tanto de organismos públicos estatales (de España y otros países europeos) como de entidades del Tercer Sector. La investigación permite concluir que existe una importante brecha entre el discurso oficial acerca de la participación y el modo como se adoptan e implementan realmente las decisiones en el ámbito del llamado “Semestre Europeo”.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.374
Teacher spread0.332 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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