La crisis económica mundial y su efecto sobre los flujos migratorios de América Latina
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".