La migración de personas a través de la historia en centro y sudamérica
Bibliographic record
Abstract
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
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".