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Enregistrement W83319334 · doi:10.1093/pch/12.8.710

A personal perspective on choosing to work toward global child health

2007· article· en· W83319334 sur OpenAlexaffabout
Elizabeth M. C. Hillman

Notice bibliographique

RevuePaediatrics & Child Health · 2007
Typearticle
Langueen
DomaineHealth Professions
ThématiqueChild and Adolescent Health
Établissements canadiensMcMaster UniversityUniversity of OttawaMcGill UniversityMemorial University of Newfoundland
Organismes subventionnairesnon disponible
Mots-clésPerspective (graphical)Work (physics)PsychologyMedicineComputer scienceEngineeringArtificial intelligence

Résumé

récupéré en direct d'OpenAlex

I grew up in the bush in Northern Ontario. There were miles and miles of trees, rocks and rivers, and strong, kind people living far apart from each other. Some of them earned their living by hunting, fishing and trapping, others were maintenance men on the coast-to-coast Canadian National Railway, who had come from central Europe to this country of opportunity. They were lonely; they sent for their wives who, when they came, were lonelier. They had children, but there were no schools, no books, no roads and no health services. These people lived in what may have well been called ‘poverty’. Someone in Ontario's government had a brilliant idea. A retired railway coach (#15071) was converted into a school with desks, maps, books and a teacher – Fred Sloman, from Clinton, Ontario, who believed in people and dreams. He taught poor children in the bush, children of trappers and railway workers and eventually of miners and lumbermen as the North opened up. The school car was moved every week to a new stop. At 16:00 everyday, the children went home and their parents moved into the school room to learn to read, write and speak Canada's languages. Fred Sloman's wife was a wonderful teacher too. Together they raised five children in the school car; I was the second of the Sloman ‘school car children’. The school car experiment was a success, and eventually Ontario had seven school cars in the North – schools that taught hundreds of children until the country opened up with roads, jobs, stores and schools without wheels! Our school car is now retired to a park in Clinton, Ontario, as a popular site for school children and families to picnic. This was the only school I attended until I went to the University of Western Ontario (London, Ontario), and graduated in 1951 with an MD degree. I wanted to pursue paediatrics because I had seen many children in the North die of measles, tuberculosis, preventable diseases and injuries, ignorance and poverty. So I went to Montreal, Quebec, to the Montreal Children's Hospital (MCH), which became the centre of my world because of its wonderful people and great teachers – too many to list, but Dr Alan Ross in particular took over my education where my father left off. He inspired all of us to learn about childhood illnesses and prevention as well as why the children living in poverty in that beautiful city had so many health problems. He taught us that we had a responsibility for the world's children as well as our own. Dr Ross sent me and Don Hillman, who was a McGill University (Montreal, Quebec) 1951 graduate, off to Boston, Massachusetts, for further training, and then offered us positions at the MCH. We returned to Montreal and McGill and were married, and ‘lived happily ever after’ for 51 years. Dr Ross remained our mentor and teacher as long as he lived – how lucky we were! We learned that there were many ways of working to achieve what has now been articulated as the first Millennium Development GoaIs to eradicate extreme hunger and poverty. I remember working with Dr Charles Larson and others with pleasure in Pointe St Charles (Montreal, Quebec) storefront clinics in the 1960s, and with Dr Colin Forbes in Caughnawaga (Quebec). In those days, just as in northern Ontario, health services did not reach needy people. When Dr Ross retired, he went to Africa, specifically Kenya, to help build a medical school in Nairobi. Until then, Kenyan students had to attend Makerere University medical school in Uganda. The Canadian International Development Agency funded a unique McGill – Kenya Project in which McGill faculty and MCH residents worked in Africa to help Kenyans develop their own medical school. At MCH, we had learned that students could lead the way in effective outreach programs with faculty support. In Kenya, providing health care in remote areas was a bigger problem because transportation was difficult, but Kenyan student leaders such as Professor Julius Meme and others led the way. Don and I served in Africa twice, for two years each time. (Eventually we had five children, who went with us and attended Kenyan schools; a great learning experience for them, as for us.) We later returned many times to Kenya, keeping in touch with ex-students who are now leaders in paediatric and government child health services. After Kenya, Don was made Chairman of Paediatrics at Memorial University in Newfoundland, and we spent 13 happy years there, and since then we have continued our shorter term teaching visits, most often as volunteers, to universities in Uganda, Laos, South Africa, Guyana, Malaysia, China and the Philippines. I am very glad Don and I had the opportunity to work with students and paediatric colleagues in so many countries for so many years. We had a very happy and rewarding life together until July 2006 when Don died. I will continue whatever I can do to encourage students to promote children's health in needy parts of the world, as long as I can be useful, because I believe so strongly that the Millennium Development Goals can be met. We must oppose the two great enemies for healthy children – poverty made worse by wars and the unnecessary wars inflicted on poor countries for profit. Women and children are the ones that suffer most in wars. Women and children are also the ones that suffer most from poverty. We, as teachers and health workers, can work toward the goal by inspiring students to fight war and poverty, whether it be in exotic places like Kenya, or in northern Canada, or in the community where we work today.

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)0,013
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: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,125
Score d'incertitude au seuil0,249

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0130,009
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0310,026
Communication savante0,0150,010
Science ouverte0,0030,018
Intégrité de la recherche0,0070,021
Charge utile insuffisante (le modèle a refusé de juger)0,0240,005

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 Opus0,037
Tête enseignante GPT0,399
Écart entre enseignants0,362 · 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

Citations0
Publié2007
Routes d'admission2
Résumé présentoui

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