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Record W6982870105

La crisis económica mundial y su efecto sobre los flujos migratorios de América Latina

2016· other· en· W6982870105 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repository (Universidad Autónoma del Estado de México) · 2016
Typeother
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansEmigrationPopulationNet migration rateRemittanceHuman migration
DOInot available

Abstract

fetched live from OpenAlex

Migration flows from Latin America are not recent. The United States has long been the preferred destination for migrants from the region presenting significant high and low according to the behavior of recent years. Moreover, for years the European population was who migrated to the Americas, however, the mid-twentieth century a change in migration trends so that Latin America went from being a recipient to a region of emigrants ejection region was presented. Under this scenario in the nineties and in the 2000s began to increase significantly the migration flows to Europe (Spain, Italy, France and Portugal, among the most important), Japan and Canada; however, in the first decade of the century high levels of emigration were recorded particularly to the United States and Spain framed in the new era of international migration. Despite the upward trend, from 2008 flows directed mainly to European countries began to decline dramatically. Due to the above, the present study was to analyze the effect caused by the global economic crisis in the first decade of the century on migration flows in Latin America, which has further adverse effects on developed countries mainly those countries of destination of these migrants. Relevant information indicates that these flows have changed now becoming increasingly complex.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.708
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.010
GPT teacher head0.243
Teacher spread0.233 · 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
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
Published2016
Admission routes1
Has abstractyes

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