A comparison of perinatal and infant mortality rates in British Columbia and Finland: Similarities and differences
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.
Bibliographic record
Abstract
Introduction: Despite similarities, perinatal and infant mortality rates between British Columbia, (BC) Canada and Finland differ. Key variables that may influence stillbirth, early neonatal, perinatal and infant mortality rates in BC and Finland were studied. Methods: After standardizing definitions, data for all births between 2001 and 2009 from provincial and national registries were used to compare perinatal outcomes between BC and Finland. Annual change was evaluated with regression analyses. Results: Births before 22 weeks gestation were excluded. All mortality rates per 1000 were lower in Finland vs BC (perinatal: 5.1 vs 6.2, stillbirth: 3.4 vs 3.9, early neonatal 1.7 vs 2.4, infant 2.9 vs 4.0; all p Higher multiple birth and preterm birth rates in BC are affecting mortality rates. Finland’s policy of single embryo transfer is a potential explanation. It is possible to have good perinatal outcomes and low caesarean section rates. Conclusions: The Finnish health care system may suggest possible solutions for improved perinatal outcomes. Lower per capita health care expenditures in Finland do not appear to have adversely affected perinatal outcomes.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it