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Record W4401954921 · doi:10.1177/08404704241259906

Integrating Indigenous midwives into a comprehensive primary care setting

2024· article· en· W4401954921 on OpenAlexafffundabout
Cecilia Benoit, Andrea Mellor, Brett Koenig, Nathalie Pambrun, Melanie Mason

Post-publication record

OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.

Bibliographic record

VenueHealthcare Management Forum · 2024
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsVictoria HospitalBritish Columbia Centre on Substance Use
FundersEmployment and Social Development Canada
KeywordsScope (computer science)IndigenousScope of practiceLimitingNursingPrimary careMedicineHealth careFace (sociological concept)ObstetricsPolitical scienceFamily medicineSociology

Abstract

fetched live from OpenAlex

Canada has been unique in the modern era for limiting midwives from providing sexual health and perinatal care to families. Prohibitions on midwifery practice were finally lifted in Prince Edward Island in 2024, yet midwives' scope of practice continues to be restricted in most jurisdictions. The Canadian Midwifery Regulators Council recently recommended midwives should be able to practice their full scope. Our midwifery pilot project, located in the city of Victoria, British Columbia, implemented this recommendation in 2023-2024. Below we demonstrate the benefits of integrating midwifery into a primary healthcare clinic and the continued challenges midwives and their teams face in securing salaried employment long-term. We focus on the specialized cultural and clinical skillset that Indigenous registered midwives in particular bring to primary care, and the life-saving outcomes that can occur for youth clients if interprofessional collaboration and cooperation are well-established.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.287

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.002
Scholarly communication0.0020.001
Open science0.0020.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.021
GPT teacher head0.344
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes3
Has abstractyes

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