Bibliographic record
Abstract
It is estimated that nearly 100,000 children are born into poverty each year in Canada. During pregnancy, their mothers are likely to face multiple stressful life events, including lone-mother and teenage pregnancies, unemployment, more crowded or polluted physical environments, and far fewer resources to deal with these exposures. The early child health consequences of poverty and pregnancy are multiple, and often set a newborn child on a life-long course of disparities in health outcomes. Included are greatly increased risks for preterm birth, intrauterine growth restriction, and neonatal or infant death. Poverty has consistently been found to be a powerful determinant of delayed cognitive development and poor school performance. Behaviour problems among young children and adolescents are strongly associated with maternal poverty. Sound evidence in support of policies and programs to reduce these disparities among the poor, including the role of health practitioners, is difficult to find. This is partly because many interventions and programs targeting the poor are not properly evaluated or critically appraised. On estime que près de 100 000 enfants naissent dans la pauvreté chaque année au Canada. Il est probable que leur mère assume seule leur maternité, qu'elle soit adolescente et que, pendant la grossesse, elle doive affronter de multiples autres événements stressants tels que le chômage, des milieux physiques plus surpeuplés ou plus pollués et des ressources beaucoup plus limitées pour faire face à ces situations. Les conséquences de la pauvreté sur la santé des jeunes enfants et sur la grossesse sont multiples et orientent souvent le nouveau-né vers un parcours de disparités en santé qui durera toute la vie. Soulignons des risques beaucoup plus élevés de prématurité, de retard de croissance intra-utérine et de mortinaissance ou de mort du nourrisson. La pauvreté a toujours été un puissant déterminant de retard de développement cognitif et de rendement scolaire médiocre. Les troubles de comportement chez les jeunes enfants et les adolescents sont fortement associés à la pauvreté de la mère. Il est difficile de trouver des données probantes pour étayer les politiques ou les programmes en vue de réduire ces disparités chez les personnes pauvres, y compris le rôle des dispensateurs de soins. Ce constat s'explique en partie par le fait que de nombreuses interventions et de nombreux programmes qui ciblent les personnes pauvres ne font pas l'objet de bonnes évaluations ou d'évaluations critiques.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".