Qualified, skilled or trained delivery care provider: a conundrum of who, where and when
Bibliographic record
Abstract
In the global maternal and newborn health (MNH) literature, care providers have been classified in several ways, engendering the question—whether providers who care for the mother and her newborn(s) have the necessary training and skills to provide quality care. This question underscores the importance of clearly defining who provided care. A specific definition not only facilitates correct interpretation of findings but helps understand potential reasons behind successes or failures of MNH interventions. Additionally, in low- and middle-income countries (LMICs), providers who routinely attend deliveries often receive varying levels of training, even within the same classifications. This inconsistency can result in incomparable estimates of skilled birth attendance, an indicator used to reference MNH care globally.
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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 | 0.062 | 0.234 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.007 | 0.013 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.018 | 0.022 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".