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Record W1503184446 · doi:10.25115/eea.v29i1.3934

La adaptación del Sistema Nacional de Incentivos Regionales a la Ley para el Desarrollo Sostenible del Medio Rural

2020· article· es· W1503184446 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStudies of Applied Economics · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicRegional Development and Innovation
Canadian institutionsQuebec Rehabilitation Research Network
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyPhilosophy

Abstract

fetched live from OpenAlex

En enero de 2008 entró en vigor la Ley para el desarrollo sostenible del medio rural. Con el objetivo de fomentar la actividad económica en estas áreas, propone que el sistema nacional de incentivos regionales dé un trato preferente a las zonas rurales consideradas prioritarias. En junio de 2010 se aprueba el Programa de Desarrollo Rural Sostenible para el periodo 2010-2014 y con él, los incentivos regionales adquieren el papel protagonista como instrumento al servicio del desarrollo rural.Este artículo tiene por finalidad contrastar si los incentivos regionales concedidos entre 2008 y 2010 muestran algún tipo de discriminación positiva a favor de las zonas rurales, en general, y de las menos desarrolladas en particular. Es decir, si han comenzado a adaptarse al nuevo escenario en el que deberán representar su papel de manera efectiva desde 2010.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.840
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.308
Teacher spread0.245 · 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