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
Abstract Migration is a growing global phenomenon that impacts individuals, families, and communities. Although migration is often thought of as an adult activity, migration by children and youth is quite common throughout the world and is on the rise. The United Nations estimates that approximately 16 percent of all international migrants are under the age of 20, although this ranges considerably from a low of 11 percent in North America to just over 40 percent in Africa (UN 2009). One study comparing Argentina, Chile, and South Africa estimated that over one‐quarter of all migrants are children under the age of 18 (Yaqub 2009). Children migrate for many of the same reasons that adults migrate; they move toward jobs or better education and away from poverty and conflict. In some cases, children are taken along as families migrate. Other children are in the lead of this migration, while still others follow subsequent to family members' migration. This essay considers the impact of all types of migration on young children and provides contemporary examples of children's participation in migration. The essay concludes with a review of some findings on the consequences of migration for children's health and education.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.006 | 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 it