Bibliographic record
Abstract
The All Our Babies/Families (AOB/F) study is a prospective community-based pregnancy cohort that follows maternal-infant pairs across the early life course to describes the mental health and psychosocial characteristics of mothers living in Calgary and area, as well as estimating rates of low birth weight, small for gestational age and preterm births. This study is intended to help understand women's prenatal care experiences in Calgary and identify barriers and facilitators to accessing care. AOB/F data covers subject areas including: a) Maternal Prenatal Health (e.g., prenatal care, maternal gestation); b) Pregnancy History (e.g., previous pregnancies, previous preterm birth); c) Pre-pregnancy (e.g., pregnancy planning advice received, contraception use, pregnancy intention); d) Health Care Services (e.g., utilization of services for mother and baby); e) Food, Exercise and Housing (e.g., nutrition, housing, neighbourhood safety and cohesion); f) Lifestyle (e.g., T-ACE Screen for alcohol consumption risk, smoking, drugs); g) Social Support (Medical Outcomes Study Social Support Scale, partner/relationship satisfaction); h) Mental Health (e.g., Edinburgh Postnatal Depression Scale, Spielberger State Anxiety Scale, Perceived Stress Scale, optimism [Life Orientation Te st-Revised]); i) Life Events (e.g., previous mental health, abuse); j) Sociodemographic Outcomes (e.g., age, marital status, education, ethnicity, work status); k) Birth Outcomes - maternal and delivery (e.g. site of birth, delivery type, medication, delivery support); l) Birth Outcomes -infant (e.g., sex, birth weight, gestational age); m) Baby Health/Development (e.g., doctor, check-up, vaccinations); n) Parenting/ Postpartum Experiences (e.g. Parenting Morale Index, breastfeeding [Montreal Children's Hospital Feeding Scale], community service utilization) Searchable metadata can also be found on the SAGE metadata website: http://sagemetadata.policywise.com/nada/index.php/catalog/1
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".