Satellite babies in transnational families: A study of parents' decision to separate from their infants
Bibliographic record
Abstract
This study examines a practice which is characteristic of an era of intensifying globalization: As part of a transnational lifestyle, an increasing number of immigrants to North America send infants thousands of miles back to their country of origin to be raised by members of their extended families-a culturally sanctioned tradition. After several years of separation, the children return to the biological parents to attend school in the adopted country, a custom which, according to Western mental health models, could have significant sequelae for attachment relationships and other facets of development. This practice is particularly prevalent among immigrants from the People's Republic of China, but a modified version of it can be found in other groups as well. The work described here is the first phase of a longitudinal project that explores the advantages and potential repercussions, for both infants and parents, of a transnational lifestyle. The current study reviews the decision-making process of a group of Chinese Canadian immigrant parents who are considering a separation from their infants. Preliminary findings show that the expected concerns about disrupting attachment relationships are embedded in more salient considerations of economic need and cultural perspective. These exploratory data exemplify an emergent field of culture-focused research and practice in infant mental health, and support the call for innovative models to situate infant developmental pathways in global and transcultural contexts.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".