Las migraciones internacionales y sus efectos económicos en El Salvador
Bibliographic record
Abstract
Since the 70s, in El Salvador the international migration phenomenon has included all socioeconomic sectors of the county in all departments (political-administrative division) both of urban and rural areas. The armed conflict that started in 1980 was the main cause for massive migration of Salvadorans who fled mainly from conflict zones during this decade. Unleashed by the outbreak of the war, this migration phenomenon was not programmed by economic situations as in the past. A remarkable characteristic of this phenomenon in El Salvador is the migration of urban population to remote countries, such as the United States, Australia, Canada and a few European countries. This almost planned migration in relative terms was compelled by the war. Rural population fled from the conflict by migrating towards Central American countries. Another important characteristic to be emphasized is that Salvadorans are deeply connected with their places of origin. This strong bond is reflected by their constant sending of family remittances, thus contributing significantly to reduce poverty in the most disadvantaged homes. With these remittances families are more able to cover their needs. 86.3% of remittances are used for consumption, 6.1% for education, 2.8% for medical expenses and the rest for housing, business, savings and others. This is confirmed by the results of the Survey of Homes of Multiple Purposes, which registered that 22.2% of homes receive remittances.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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; both teacher heads agree on what is shown here.
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".