MétaCan
Menu
Back to cohort
Record W2079219859 · doi:10.1186/1753-6561-6-s5-p7

A qualitative exploration of factors influencing site of delivery (home, public or private hospital) in three North Karnataka districts as described by pregnant women, mothers of neonates, husbands and grandmothers

2012· article· en· W2079219859 on OpenAlexaff
Sharon Bruce, Kaveri Gurav, Andrea Katryn Blanchard, Anu Pria Roy, HL Mohan, BM Ramesh, Lisa Avery

Bibliographic record

VenueBMC Proceedings · 2012
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Manitoba
FundersBill and Melinda Gates Foundation
KeywordsThematic analysisMedicineContext (archaeology)Qualitative researchFamily medicinePromotion (chess)NursingCasteSocioeconomicsGeographySocial scienceSociology

Abstract

fetched live from OpenAlex

The National Rural Health Mission (NHRM) aims to increase the uptake of safe institutional delivery among rural communities in Karnataka. Previous studies in India have found that while there has been increasing numbers of institutional deliveries, those who had lower socio-economic status, were from scheduled caste (SC), or had less education or media exposure were less likely to use hospitals for delivery. A few studies on quality of care consistently found a more positive perception and experience at private hospitals. The purpose of this study was to explore the factors influencing choice of birthing site, specifically home, public and private hospitals, and the decision-making processes involved in the choice, in North Karnataka.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.042
GPT teacher head0.286
Teacher spread0.244 · 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 designQualitative
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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueBMC ProceedingsSame topicGlobal Maternal and Child HealthFrench-language works237,207