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Record W2079132127 · doi:10.1080/01674820410001737397

A report of women's birth experiences in Baku, Azerbaijan

2004· article· en· W2079132127 on OpenAlexaff
Beverley Chalmers, D. Quliyeva

Bibliographic record

VenueJournal of Psychosomatic Obstetrics & Gynecology · 2004
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsWomen's College HospitalUniversity of TorontoSunnybrook Health Science Centre
FundersUNICEF
KeywordsBreastfeedingHealth careChristian ministryNursingHumanismMedicineSoviet unionMaternity careFamily medicinePolitical scienceEconomic growthPediatricsLaw

Abstract

fetched live from OpenAlex

The findings from a survey exploring women's perceptions of their care during pregnancy, birth and the postpartum period in Baku, Azerbaijan, initiated by the Ministry of Health and UNICEF, are reported here. In the former Soviet Union, on which the perinatal health care systems of Azerbaijan are based, care for women during the perinatal period was based on using available technology and on a physician-centred model of care. Women's perceptions of their care were infrequently if ever sought or heeded. As healthcare systems are being strengthened in these countries, there is an increasing interest in providing a woman-centered or family-centered approach to care as well as offering appropriate medical care birthing procedures. This study explores the progress made in Azerbaijan in implementing such changes since the introduction of a perinatal reform process a few years ago. Findings indicate some significant deviations from traditional maternity care practices in Baku since the breakdown of the Soviet Union. A more humanistic and evidence-based approach to care is being introduced. It is evident that maternity houses in Baku are also providing better support for infant feeding than many of their former Soviet Union counterparts indicating the effective implementation of the principles of breastfeeding encouraged through the WHO/UNICEF Baby Friendly Hospital Initiative program in that country.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.293
Teacher spread0.280 · 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 teacher head, 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

Citations13
Published2004
Admission routes1
Has abstractyes

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