Integrating Data on Workforce Capacity and Population Needs to Map Access to Maternity Care Providers in Ontario’s Champlain Region
Bibliographic record
Abstract
In Ontario, pregnant people can choose to seek care from an obstetrician, family physician, or midwife. This study aimed to determine whether Ontario's Champlain Region displayed the levels of access to the full range of maternity care providers required to afford pregnant people the opportunity to exercise choice of provider. Drawing on data from a census survey of midwifery practice groups, the CIHI National Physician Database, and BORN Ontario, the Enhanced Two-Step Floating Catchment Area Method was adapted to calculate provider-specific accessibility scores for communities across the region. The resulting maps revealed inequities in the distribution of access across the region, differences in relative access across provider groups, and underserviced communities with minimal access to any provider group. This study presents a new approach to mapping alignment between maternity care workforce capacity and pregnant people's needs, and illustrates that additional action is required to equitably support access and choice.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".