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Record W4285100300 · doi:10.52080/rvgluz.27.99.9

Impacto de las remesas en Cooperativas de Ahorro y Préstamo mexicanas

2022· article· es· W4285100300 on OpenAlexaff
Luis Miguel Cruz Lázaro, Humberto Banda Ortíz, Martín Vivanco Vargas

Bibliographic record

VenueRevista Venezolana de Gerencia · 2022
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsImpact
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Las remesas constituyen una de las principales fuentes de ingresos en México y uno de los principales determinantes de la reducción de los niveles de pobreza entre las familias mexicanas. El objetivo de esta investigación es determinar el impacto de las remesas procedentes de Estados Unidos en las Sociedades Cooperativas de Ahorro y Préstamo de México. Para ello, se utiliza la metodología de pruebas de cointegración, con la que se realizaron seis pruebas de cointegración, para establecer si las Sociedades Cooperativas de Ahorro y Préstamo tienen participación en el mercado de las remesas. Los resultados indican que las variables financieras de las Sociedades Cooperativas de Ahorro y Préstamo no están cointegradas con las remesas. Con el análisis de los resultados se concluye que las Sociedades Cooperativas de Ahorro y Préstamo no son impactadas por las remesas y que los programas instrumentados para que este tipo de cooperativas participen en el mercado de las remesas no han tenido éxito.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.260
Teacher spread0.232 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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