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Enregistrement W2475007206

Heart and Soul: Women, heal thyselves

2002· article· en· W2475007206 sur OpenAlexvenueaboutno aff
Heather Kent

Notice bibliographique

RevueCanadian Medical Association Journal · 2002
Typearticle
Langueen
DomaineHealth Professions
ThématiqueDietetics, Nutrition, and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)MedicineScholarshipLawHistoryPolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This month Jerilynn Prior, a Vancouver endocrinologist, will give UBC's Distinguished Medical Research Lecture. For Prior, 59, the occasion is a profound marker of how far women have come in medicine. “I've earned a reputation as a scientist,” she says, “and [today] people are less quick to judge someone negatively just because she is a woman.” Her research has broken new ground in areas such as the link between osteoporosis and menopause, and prepubescent girls' eating attitudes and bone density. And she has also launched the Centre for Menstrual Cycle and Ovulation Research, which will interpret scientific knowledge of the menstrual cycle and ovulation in a woman-centred context. “Most of the knowledge we have was created in an era when women were thought to be disadvantaged by biology,” she says. Prior grew up in Alaska. A missionary's daughter, she earned a scholarship to study nursing, but she decided to pursue a medical career. She graduated from Boston University in 1969, and quickly learned that private hospitals “asked for insurance first and then decided if the person was living or dying. It became clear that given my conscience I wouldn't be able to turn patients down because they couldn't pay.” This conflict led to her move to Canada, where she became chief resident in medicine at the Vancouver Hospital. She specialized in endocrinology — “it was less focused on diseases than many specialties” — and pressed ahead on another front, too. Because she is conscientiously opposed to military spending and war and believes that the Charter grants her freedom of conscience and religion, she refused to pay the portion of her income tax that would be devoted to defence spending after she became a Canadian citizen in 1984. Instead, she paid this portion of her taxes owing to the Peace Trust Fund. She was eventually ordered to pay, and her appeal of that decision, which eventually reached the Supreme Court, was unsuccessful. When it comes to medicine, her drive probably comes from her different perspective on women's reproduction. “Early on, I began to see that ovulation was an important aspect that had been virtually ignored.” Prior also became involved in research that challenged another dogma — that menopause causes osteoporosis. “I want to know what is really going on and not just [be affected by] a cultural prejudice,” she says. She attributes the cultural prejudice surrounding menopause to the traditional positioning of women's reproduction in a surgical specialty instead of a medical one. “I would like to totally rewrite the medical school curriculum on this — they are still learning that dropping estrogen levels causes perimenopausal misery.” Prior says one of the next frontiers in women's health will be crossed by sociocultural experts who can “talk a language that is understood by the biologists. At the moment there is a big rift, and unfortunately I sit right in the middle of it. I've worked long and hard to get collaborators from these other fields, and it has been almost as hard a struggle as it has been to make my way in the medical world.” — Heather Kent, Vancouver

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)0,003
score de la tête « metaresearch » (Gemma)0,007
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 enseignants0,023
Score d'incertitude au seuil0,077

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0120,009
Communication savante0,0090,008
Science ouverte0,0010,007
Intégrité de la recherche0,0060,012
Charge utile insuffisante (le modèle a refusé de juger)0,0230,009

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 Opus0,032
Tête enseignante GPT0,339
Écart entre enseignants0,307 · 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
Publié2002
Routes d'admission2
Résumé présentoui

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