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Impacto de la COVID-19 en las remesas y sus efectos contracíclicos en las economías regionales en México

2020· article· es· W3089571066 on OpenAlex
Marcos Valdivia López, Miguel Ángel Mendoza González, Luís Quintana Romero, Carlos Salas Páez, Fernando Lozano Ascencio

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

VenueContaduría y Administración · 2020
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsComputer Research Institute of Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

<p>Este artículo analiza las implicaciones de la COVID-19 en la recepción de remesas de los estados y sus efectos en el crecimiento económico durante 2020. Con una metodología basada en simulaciones de un modelo macro regional y el uso de cuadrantes, como instrumento para la construcción de un semáforo de alertas, se concluye que nuevamente las remesas serán de los pocos mecanismos contracíclicos con los que contará la economía mexicana para afrontar una crisis económica. Sin embargo, el efecto de amortiguamiento de las remesas sobre la actividad económica de los estados será heterogéneo y, en algunos estados, no suficiente para contrarrestar la pérdida de ingreso y empleo que experimentará el país. La región tradicional de migración será una de las más beneficiadas del efecto contracíclico de las remesas.</p>

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)0.004
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.047
GPT teacher head0.318
Teacher spread0.271 · 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