Quo Vadis? Recruitment and Contracting of Migrant Workers and their Access to Social Security: The Dynamics of Temporary Migrant Labor Systems in North and Central America
Bibliographic record
Abstract
Different regions and countries of the world face a serious need to design and make use of necessary policies and resources to better manage worker migration, thus ensuring the welfare and human rights of these people who, in the end, are of benefit to their society of origin, as well as the receiving society. Although international labor migration may turn out to be productive for many people, many of these migrant workers have unsatisfactory living and working conditions.While it is likely that their labor conditions are better than in their own country, in many cases they are inferior to the working conditions of nationals in their receiving country. Despite international standards to protect migrant workers, their labor rights are frequently abused, especially if they have immigrated in an irregular fashion.In this context, INEDIM took on the task of developing an integral and comprehensive document regarding different migrant worker and visa systems in Central and North America.The work presented here holds enormous value for delving in-depth to the forms of management of temporary migrant workers, as well as their access and guarantees to social and labor protection in North and Central America. This report addresses the problem of management of labor migrant flows among countries in our region.This study is based on an ordered and scrupulous methodology in which different migration systems and visa schemes for the hiring of temporary migrant workers are analyzed from the perspective of protection, respect for, guarantees and promotion of human rights. The study analyzes six systems that seek to regulate temporary migration in the region along the Central and North American corridor. The countries involved in these six systems are El Salvador, Guatemala, Mexico, Canada, the United States, Costa Rica and Nicaragua. The authors carry out a thorough and well-structured study based on two focuses of analysis: first, the processes for recruiting and contracting migrant workers and secondly, access to social protection for temporary migrant workers by means of the right to social security. From these two focuses, the authors are able to identify and demonstrate structural insufficiencies and gaps in the analyzed systems, which should guarantee labor security and social security for these workers.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".