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Canadian Maternity Experiences Survey Pilot Study

2005· article· en· W1971862929 on OpenAlex
Susie Dzakpasu, Beverley Chalmers

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBirth · 2005
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsHealth Canada
Fundersnot available
KeywordsPsychologyGeography

Abstract

fetched live from OpenAlex

BACKGROUND: The Maternity Experiences Survey is a project of the Canadian Perinatal Surveillance System. Its primary objective is to provide insight into Canadian women's maternity experiences. A pilot study was conducted in 2002/2003 to determine to what extent women's reports could be used to assess Canadian perinatal health policies and practices, and to test the procedures proposed for a national maternity experiences survey. METHODS: A nonrepresentative sample of 291 mothers was drawn from Canadian birth registration records. Mothers whose children had died or were no longer in their care were excluded. Participants were interviewed 9 to 11 months postpartum about prenatal, labor, and birth and postpartum experiences. RESULTS: The response rate was 86 percent. Respondents were generally comfortable answering all questions and identified areas of potential strength and weakness in the Canadian maternity care system. They had difficulty recalling information on some prenatal tests, and labor and birth procedures. The use of birth registrations to draw the pilot sample worked well. However, some regions may not be able to provide timely access to birth registrations for the purposes of a national survey. CONCLUSIONS: The high response rate and women's ability to provide information on a wide range of topics demonstrates that a national maternity survey would be an effective method of providing important maternal health information. The data collected would allow Health Canada to carry out more effective national perinatal health surveillance with a view to influencing perinatal health policy and practice.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.091
GPT teacher head0.364
Teacher spread0.273 · 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