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Record W2804779753

La migración de personas a través de la historia en centro y sudamérica

2017· article· es· W2804779753 on OpenAlexaboutno aff
María Eugenia Caballero Dueñas, Manuel Alberto Salgado Soto, Rosa María López

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicMigration, Health, Geopolitics, Historical Geography
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansHumanitiesPersonaPolitical scienceVenPanamaGeographyArtLaw
DOInot available

Abstract

fetched live from OpenAlex

espanolLa situacion geografica de Mexico, hace que las personas que migran de Centro y Sudamerica hacia los Estados Unidos de Norte America (EUA), un paso obligatorio para la mayoria de los migrantes, que buscan una mejoria en su vida en los E.U.A., ya que este pais es considerado la primera potencia mundial en America, y ofrece remuneraciones a los trabajos mucho mejor que en sus paises de origen. Actualmente los paises en vias de desarrollo de America Latina, se encuentran viviendo una situacion economica precaria, aunado a los problemas politicos y la inseguridad latente por el crimen organizado, es por estos motivos que miles de personas se ven precisadas a migrar hacia otros territorios; siendo su principal destino america del norte, especificamente E.U.A. y Canada, aunque este ultimo en menor proporcion; los principales paises de Sudamerica que sufren esta tipo de migracion, son Ecuador, Peru, Venezuela; y de Centroamerica son los paises de Guatemala, Honduras, El Salvador, Panama y Costa Rica. Muy importante es la migracion ilegal de Asia y africa, que buscan llegar a norte de america, y que regularmente llegan a centro america por via maritima, para intentar llegar a su destino por via terrestre a traves del territorio mexicano. EnglishMexico's geographic position, induces citizens from Central and Southern America to choose this country as their migration path to the United States of America (USA) as a mandatory step towards improving their lives, as it is considered the World's Potency to date, offering better salaries and wages compared to their home countries. Now, Latin America is a developing country with its habitants living under precarious economic environments, paired with political issues and organized crime. It is for these reasons that thousands of people are confronted with the necessity of migrating to other territories. Its main destinations are North America, specifically the United States and Canada, the latter to a minor extent. The South American countries with larger migration scales are Ecuador, Peru, Venezuela, Guatemala, Honduras, El Salvador, Panama and Costa Rica for Central America. It is important to take into account illegal migration from Asia and Africa, aiming to reach the Northern America Countries through Central America by sea, or by land through Mexico as well

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.294
Teacher spread0.285 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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