Tres premisas para entender y explicar la migración México-Estados Unidos
Bibliographic record
Abstract
La migracion Mexico-Estados Unidos es un fenomeno social de caracter centenario, que involucra a millones de personas y que se materializa entre paises vecinos. Estas tres caracteristicas: historicidad, masividad y vecindad son, en esencia, lo que puede distinguir a la migracion de origen mexicano, de otras tantas, que se dirigen y se han dirigido a Estados Unidos. Ninguna corriente migratoria a la Union Americana, que provenga de un solo pais, ha durado mas de cien anos, salvo el caso mexicano; no existe un flujo migratorio mayor que aquel que proviene de la frontera sur y solo la migracion de Mexico y la muy secundaria de Canada pueden considerarse, como un fenomeno que se da entre paises vecinos.1 En este articulo se pretende definir en esencia, lo que constituye el nucleo basico de la migracion Mexico-Estados Unidos, aquello que lo distingue de otros procesos y por tanto lo define como un fenomeno social particular y diferente.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".