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Record W7000182368

EL SIAF, MÓDULO ADMINISTRATIVO Y SU INCIDENCIA EN EL GASTO PÚBLICO DE LA MUNICIPALIDAD PROVINCIAL DE PASCO – AÑO 2017

2019· dissertation· es· W7000182368 on OpenAlexaboutno aff

Bibliographic record

VenueUniversidad de Huánuco · 2019
Typedissertation
Languagees
FieldAgricultural and Biological Sciences
TopicAgriculture and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPilotageQuarter (Canadian coin)Consumption (sociology)
DOInot available

Abstract

fetched live from OpenAlex

El presente informe tiene por objetivo, analizar cómo el SIAF, Módulo Administrativo incide en el gasto público de la Municipalidad Provincial De Pasco – Año 2017, esta investigación es del tipo Aplicada, el enfoque es cuantitativo, de alcance descriptivo, con un diseño no experimental transeccional descriptivo; donde las variables de estudio vienen a ser SIAF, Módulo Administrativo y el gasto público. Donde la muestra se halla a partir de un muestreo no probabilístico por conveniencia; ya que sólo se tomará 10 trabajadores de las áreas de logística, contabilidad y tesorería de la Municipalidad Provincial De Pasco – Año 2017.
\nPara el procesamiento de la información y contrastación de la hipótesis se utilizó el programa Spss versión 23, y a través de la estadística descriptiva se acepta la Hipótesis alternativa (Hi) y se rechaza la hipótesis nula (Ho); y podemos decir que el SIAF, Modulo Administrativo incide positivamente en el gasto público de la Municipalidad Provincial De Pasco – Año 2017.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.001
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 head0.011
GPT teacher head0.295
Teacher spread0.284 · 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
Published2019
Admission routes1
Has abstractyes

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