MétaCan
Menu
Retour à la cohorte
Enregistrement W219585443 · doi:10.1093/pch/12.8.645

A Canada (un)fit for children?

2007· article· en· W219585443 sur OpenAlexaffabout
H. Guyda, Robin Williams

Notice bibliographique

RevuePaediatrics & Child Health · 2007
Typearticle
Langueen
DomaineHealth Professions
ThématiqueChild and Adolescent Health
Établissements canadiensRegional Municipality of NiagaraMcGill UniversityMcMaster UniversityMontreal Children's Hospital
Organismes subventionnairesnon disponible
Mots-clésPovertyChild povertyProsperityRatificationPopulationStandard of livingConvention on the Rights of the ChildEconomic growthPolitical scienceDeclarationMedicineDevelopment economicsEconomicsEnvironmental healthPoliticsHuman rightsLaw

Résumé

récupéré en direct d'OpenAlex

As you will read in this issue of Paediatrics & Child Health, Canada's federal House of Commons voted unanimously in 1989 to “seek to achieve the goal” of ending child poverty by the year 2000. We are far past this optimistic declaration date. Since then, in spite of unprecedented prosperity and economic wealth as a nation, and despite several further promises such as the ratification of the UN Convention on the Rights of the Child (1), and A Canada Fit for Children (2), we still find one in six of our Canadian children living in poverty, increasing to one in four in the Aboriginal population. In 1989, the child poverty rate was 15.1%, and in 2003, it had risen to 17.6%, representing 1.2 million children living in poverty. There is significant variability in child poverty rates, not only across the provinces, but also within certain communities (3). Furthermore, due to the different definitions of poverty, methods of measuring it and attempts at international comparisons, the statistical story can appear varied and confusing. However, Canada's ranking of 19 out of 26 successful Organization for Economic Cooperation and Development countries in terms of the ‘percentage of children living in relative poverty’ is shameful (4). In this special issue of Paediatrics & Child Health, we bring together a series of articles that will hopefully arm paediatricians and primary care practitioners with a broader understanding of the real face of child poverty in Canada, including the incidence, demographics, health and social impacts, as well as some special Canadian features. Further, we have optimistically presented some pathways for possible solutions (Ferguson et al, pages 701–706). The poignant article by National Chief Phil Fontaine (pages 653–655) is a must read. His description of what lies behind poverty in the Aboriginal communities is very clear. Our current laws and policies, which are rooted historically in the belief that European culture was somehow superior to the Aboriginal culture, are significantly harming Canada's Aboriginal children because of the resultant sustained economic gap. The National Chief's call to action for his communities must be addressed urgently. Poor children interface with clinicians more frequently than children from families of higher economic status, and poverty is a predictor of increased rates of most negative health outcomes. The increased rates of infant mortality, low birth weights, asthma, obesity, functional disabilities, poor literacy, poor school readiness, and behavioural and mental health difficulties all bring these children into repeated contact with the health care system (Gupta et al, pages 667–672). Furthermore, because the incidence of poverty is highest among our youngest children, the impact on their life successes, health and future well-being mediated through these early years is particularly critical. Paediatricians and primary care practitioners may witness the expression of poverty from a child or family point of view when it is presented uniquely in hospitals, clinical offices or communities. The families of the poor children that we see often reflect a special profile, including an increased likelihood of being a single mother, being a recent immigrant, coming from an Aboriginal family or having a disabled parent (Rothman, pages 661–665; Pagani, pages 693–697; Pagani and Huot, pages 698–700). Unfortunately, the actual level of poverty may not be recognized due to a lack of awareness or time constraints on the health care practitioner. Enhanced cultural sensitivity exposure in our training programs offers a potential approach to address this shortfall (Razack, pages 657–659). Clearly, poverty comes with considerable baggage and brings with it a significant panoply of negative events; childhood poverty limits their horizons, dreams and potentials. As is seen in the articles by Larson (pages 673–677), Gupta et al, and Pagani, the lifetime trajectory for children experiencing poverty is diminished and driven down so that other lifetime events of chronic illness, divorce, loss, etc, have enhanced traction in an already challenged environment. Without interventions and changes in our current direction, the cycle of ongoing poverty is inevitable. These interventions are particularly important during the prenatal and early years because this is the largest age group of children living in poverty. Our ability to continue to focus attention on child poverty and its impact requires ongoing measurement with creative data display and knowledge translation. The articles by Hertzman and Bertrand (pages 687–692), and Rothman, tell the real Canadian story and focus on the interface of poverty with the community. We believe that there is a clear policy and practice gap that exists between our ‘sincere’ pronouncement that ‘children are our most important asset’ and what we actually practice in Canada. We firmly believe that proffered solutions need to be comprehensive and broad, and must address equitable income distributions, fair wages, and family and child support. The solutions should also provide programs and services that strengthen the social support network, as well as investment in quality early learning and childcare, housing, education and training. In addition, individual and collective suggestions of how to participate in and address the child poverty issue are provided throughout this Journal issue (Lynk and Issenman, pages 649–650; Ferguson et al; and Fontaine). For example, the Bradshaw article (pages 681–685) describes the United Kingdom experience, where in 1999, their national government declared their aim to end child poverty. It describes their movement toward success through government leadership, broad-based commitment, establishment of realistic targets and ongoing measurement of outcomes. This special issue of Paediatrics & Child Health adds our voice to the international community of journals that will focus world attention on poverty (5); all of us are committed to targeting poverty as an international failure that needs immediate redress. We hope to entice you to stay connected to this critical social policy issue (page 651), and to become part of the solution in many ways, small or large, through the collective power of your voices, practices and leadership. Our challenge to all of you is that, when the media focus fades, we continue to push for the development of a realistic Canadian strategy, pulling together leaders, ideas, targets, timeframes and solutions from across this great country – including all levels of government – to make Canada a country that is truly fit for all of our children, irrespective of who they are or where they live. It is time to deal seriously with child poverty as a national issue. It deserves our national energy – there is no better time.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,376
Score d'incertitude au seuil0,757

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,009
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0080,004
Communication savante0,0080,004
Science ouverte0,0020,003
Intégrité de la recherche0,0090,009
Charge utile insuffisante (le modèle a refusé de juger)0,0330,007

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,353
Écart entre enseignants0,326 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2007
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revuePaediatrics & Child HealthMême sujetChild and Adolescent HealthTravaux en français237 207