Too precarious to walk: an integrated “three delays” framework for modeling barriers to maternal health care and birth registration among stateless persons and irregular migrants in Malaysia
Bibliographic record
Abstract
This study extends Thaddeus and Maine's (1994) "three delays" framework to model the interrelated barriers to maternal health care and birth registration. We focus on stateless persons and irregular migrants, populations that are especially at risk of being "left behind" in United Nations member states' efforts to "provide legal identity to all" as part of the 2030 Sustainable Development Agenda. Drawing on qualitative fieldwork conducted in Sabah, Malaysia, we model delays in accessing maternal health care and birth registration as an integrated, cyclical process. We identify the political and legal barriers that stateless or migrant families confront while deciding to make institutional contact (Phase I), identifying and reaching health or registering institutions (Phase II), and receiving adequate and appropriate treatment (Phase III). We find that exclusion from one system raises the risk of exclusion from the other, resulting in a range of negative consequences, including increased health risks, governments' impaired ability to monitor population health, and the perpetuation of intergenerational cycles of legal exclusion.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".