Editorial: The Global Impacts of COVID-19 on Maternity Care Practices and Childbearing Experiences
Bibliographic record
Abstract
This special issue on The Global Impact of COVID-19 on Maternity Care Practices and Childbearing Experiences includes articles that describe the experiences of providers and childbearers in relation to pregnancy, childbirth, and the postpartum period during the COVID-19 pandemic across a range of countries, including the United States, Canada, Mexico, Chile, Italy, Russia, India, Pakistan, Kenya, and New Zealand, as well as an article on pandemic doula care across 23 high-and middle-income countries. Most of the articles in this collection primarily examine the COVID-19 pandemic either from the perspective of providers-including midwives, doulas, obstetricians, nurses, social workers, and other birthworkers-or from the perspective of childbearers. We begin this Editorial by focusing mostly on providers, then turn to childbearers' experiences. All references without dates refer to articles in this Special Issue.
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How this classification was reachedexpand
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".