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Record W7037430221

Descentralización fiscal en Centroamérica : estudio comparativo

2004· book· es· W7037430221 on OpenAlexfundno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2004
Typebook
Languagees
FieldEngineering
TopicStonefly species taxonomy and ecology
Canadian institutionsnot available
FundersFlorida Agricultural and Mechanical UniversityInnovation, Science and Economic Development Canada
KeywordsFiscal deficitPublic policyFiscal policyPublic work
DOInot available

Abstract

fetched live from OpenAlex

Los países centroamericanos y sus municipalidades tienen que afrontar en los próximos años el reto de lograr una mayor cobertura y calidad de los servicios básicos, así como mejorar el entorno territorial para incentivar las actividades productivas y fortalecer el desarrollo y la competitividad local. Para lograrlo en el mediano y largo plazo, es necesario vencer un buen número de obstáculos, algunos de ellos planteados en este trabajo. Al respecto, este estudio comparativo sobre la descentralización fiscal en la región, está dividido en dos partes. La primera hace un recorrido por el marco constitucional y legal de lo fiscal y las políticas de descentralización, redactadas y desarrolladas en los distintos países de la región, aborda el tema de los municipios pequeños y la brecha fiscal, analiza las competencias municipales de grado menor, los esfuerzos en el fortalecimiento fiscal municipal y la existencia de otros recursos para la inversión municipal. La segunda parte contiene las conclusiones y plantea los principales desafíos que los países centroamericanos tienen que enfrentar si quieren avanzar en la descentralización fiscal.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.695
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.003

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 head0.008
GPT teacher head0.198
Teacher spread0.190 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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