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Record W2894615762

Políticas públicas para los músicos en el Ecuador : una propuesta a partir de la experiencia de Paraguay, Argentina y Canadá.

2015· dissertation· es· W2894615762 on OpenAlexaboutno aff
Mayorga Arias, Carlos Julio

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldSocial Sciences
TopicAdministrative Law and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

La presente Tesis tiene como objetivo principal determinar cuales son los factores que influyen en la existencia de una jubilacion justa para los musicos, comparando la legislacion aplicada en el Ecuador con las propuestas implementadas en Argentina, Canada y Paraguay. El analisis de los mencionados factores en conjuncion con la teoria del Public Choice determinaron las opciones que tiene una propuesta de jubilacion de los musicos de convertirse en ley publica. El retiro de los artistas se ha considerado un tema polemico dentro de las sociedades; dentro de las artes, la musica es la actividad mas vulnerable de copia y reproduccion, esta violacion de derechos de autor se hace posible a traves del uso de la tecnologia misma que como se determino en este analisis, causa dificultades economicas a los musicos quienes han perdido el interes de grabar sus canciones por sus altos costos y facilidad de reproduccion ilegal.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.027
GPT teacher head0.415
Teacher spread0.388 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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