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Record W2188311389 · doi:10.1093/pch/12.8.693

How does poverty beget poverty?

2007· article· en· W2188311389 on OpenAlexaffabout
Linda S. Pagani

Bibliographic record

VenuePaediatrics & Child Health · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsPovertyPsychosocialPsychologyPopulationDepression (economics)Single parentEconomic growthDevelopment economicsPolitical scienceSociologyEconomicsDemographyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Although Canadian poverty rates are less than our neighbours to the south, the consequences of growing up poor affects the Canadian economy and its social fabric. As a relatively wealthy nation, Canada is challenged by high rates of single-parent families, the working poor and a budding population of newcomers with fewer resources. Family poverty primarily risks affecting childrens' achievements and academic attainments. Not performing on a par with their middle-class peer group places these children at greater risk for academic failure and its concomitant behavioural problems. Associated variables such as single-parenthood and ineffective child-rearing account for much of the remaining risk for psychosocial maladjustment. Childhood poverty, especially of the persistent kind, risks charting a developmental course toward low academic attainment, poor health behaviours and attitudes, and adult depression. Such characteristics become more daunting when those who are not resilient become the parents of the next generation.Bien que les taux de pauvreté au Canada soient plus faibles que chez nos voisins du Sud, les conséquences d'une enfance dans la pauvreté influent sur l'économie et le tissu social du Canada. Les taux élevés de monoparentalité et de petits salariés ainsi qu'une population bourgeonnante de nouveau-venus aux ressources plus limitées constituent un défi pour le Canada, une nation relativement prospère. La pauvreté familiale risque surtout de nuire aux réalisations et au rendement scolaire des enfants. Puisque leur rendement n'équivaut pas à celui de leurs camarades des classes moyennes, ces enfants sont plus vulnérables à l'échec scolaire et aux troubles de comportement concomitants. Des variables connexes, comme la monoparentalité et des pratiques éducatives inefficaces, représentent une grande partie du risque résiduel d'inadaptation psychosociale. La pauvreté des enfants, notamment lorsqu'elle persiste, risque d'ouvrir la voie à un développement favorisant un faible rendement scolaire, des comportements et des attitudes néfastes en matière de santé et une dépression à l'âge adulte. Ces caractéristiques deviennent plus décourageantes lorsque les enfants non résilients deviennent les parents de la génération suivante.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0120.013
Scholarly communication0.0090.006
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.013
GPT teacher head0.295
Teacher spread0.281 · 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 designTheoretical or conceptual
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

Citations4
Published2007
Admission routes2
Has abstractyes

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