Babies without borders: adoption and migration across the Americas
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
While international adoptions have risen in the public eye and recent scholarship has covered transnational adoption from Asia to the U.S., adoptions between North America and Latin America have been overshadowed and, in some cases, forgotten. In this nuanced study of adoption, Karen Dubinsky expands the historical record while she considers the political symbolism of children caught up in adoption and migration controversies in Canada, the United States, Cuba, and Guatemala.Babies without Borders tells the interrelated stories of Cuban children caught in Operation Peter Pan, adopted Black and Native American children who became icons in the Sixties, and Guatemalan children whose disappearance today in transnational adoption networks echoes their fate during the country s brutal civil war. Drawing from archival research as well as from her critical observations as an adoptive parent, Dubinsky moves debates around transnational adoption beyond the current dichotomy the good of humanitarian rescue, against the evil of imperialist kidnap. Integrating the personal with the scholarly, Babies without Borders exposes what happens when children bear the weight of adult political conflicts.
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 | 0.001 | 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) | 0.000 | 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