Digital Innovations for the Educational Inclusion of Refugees, Migrants, and Displaced persons in Latin America and the Caribbean: Analysis of Best Practices and Recommendations for Their Scalability and Sustainability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This working paper is part of the project “Exploring Opportunities for the Use of Digital Technologies to Foster Educational Inclusion for Refugees, Migrants, and Displaced Children in Latin America and the Caribbean," led by Fundación Ceibal (Uruguay) and funded by the International Development Research Centre (IDRC, Canada). The main objective is to identify and analyze innovations and best practices in using digital technologies for the educational inclusion of refugees, migrants, and displaced persons (RMDP) in the region. The focus will be on two implemented experiences and their potential for scalability. This study aims to contribute to the design of policies and strategies that improve access to, retention in, and quality of education for this population in mobility contexts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it