Migración de retorno en Latinoamérica y el Caribe: Una revisión sistemática exploratoria
Bibliographic record
Abstract
The following article determines the scope and nature of the empirical evidence, that is,academic articles on migrants returning to Latin Americanand Caribbeancountries. Using Systematic Exploratory Reviewsmethodology, 23 empirical studies published in indexed journals were included.The data were synthesized using descriptive statistics and conventional content analysis. Most of the participants are migrants from Mexico (n=19) and the return country is the United States (n=20). Four emerging categories were identified: a) health and well-being,b) social, political,and cultural context,c) addictions,and d) return reasons.The phenomenon under study shows innovation due to the limited scientific literature that analyzes return migration. It is concluded that people returning to their places of origin face unfavorable economic, political,and health situations.
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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 | 0.063 | 0.074 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.061 | 0.034 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".