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Record W3209801101 · doi:10.82308/19906

Adolescent pregnancy and low birth weight in the Peruvian Amazon

2009· article· en· W3209801101 on OpenAlexfundno aff
Julia A. Ryan

Bibliographic record

VenueeScholarship@McGill (McGill) · 2009
Typearticle
Languageen
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchMcGill University Health CentreMcGill University
KeywordsAmazon rainforestPregnancyObstetricsMedicineBiology

Abstract

fetched live from OpenAlex

Objective: To compare low birth weight (LBW) (< 2,500g) between infants born to adolescent and adult mothers in Iquitos, Peru. Methods: A random sample of 4,467 birth records was collected. Multivariate analyses were performed to compare both the proportion of LBW and mean birth weight of newborns of adolescents (10-14 yrs, 15-19 yrs) and adults (≥ 20 yrs) and then for primiparous mothers only. Results: For all mothers, all adolescents had significantly greater odds of having a LBW infant than adults. For primiparous mothers, the same was true only for 10-14 year-olds. There were significant differences in mean birth weight between adults and both early and late adolescent age groups. Discussion: Results provide evidence for increased risk of LBW in adolescents, especially early adolescents. Further research is needed on elucidating the basis of this disparity, especially in terms of physiological and behavioural determinants.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.319
Teacher spread0.286 · 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 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

Citations2
Published2009
Admission routes1
Has abstractyes

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