Notice bibliographique
Résumé
Countries in Africa are among the poorest in the world. As a result, they often do not have resources for basic health care. The most common medical problems are related to a variety of infectious diseases, and African countries have the highest incidence rates in the world of life-threatening infections such as tuberculosis, meningitis, malaria, and acquired immunodeficiency syndrome (AIDS). In November 2000 I went to Zimbabwe as a medical volunteer with a Canadian–Jewish humanitarian organization called Veahavta. I worked at a rural Salvation Army hospital, the Howard Hospital, in a small farming community called Gweshe, about 90 km north of Harare, the capital city. The area is primarily agricultural, with numerous small subsistence farms. The hospital has 150 inpatient beds, a very busy outpatient facility, and a regional obstetrical service with more than 3000 deliveries per year. There is one full-time physician, an obstetrician born and trained in Canada. I spent nearly 3 weeks at the Howard Hospital, where I was responsible for medical care for both inpatients and outpatients, assisted at surgical procedures, supervised a clinical research study, and provided educational sessions for nurses and nursing students. As might have been expected, the major medical problems encountered were a variety of infectious diseases, including AIDS, tuberculosis, pneumonia, gastroenteritis, and schistosomiasis. We also treated patients with rheumatic fever, malaria, hepatitis, meningitis, sexually transmitted diseases, pelvic inflammatory disease, mucocutaneous candidiasis, burns, and traumatic wound infections. The only laboratory tests available were hemoglobin level, white blood cell count, blood glucose level, pregnancy testing, Gram staining, acid-fast staining, malaria prep, direct smears for ova and parasites, and VDRL (Venereal Disease Research Laboratory). Microbial cultures were not available. It was possible to perform plain radiography and abdominal ultrasonography, but no other imaging studies. As a result, most of our diagnoses and treatment were empiric. A restricted group of anti-infective agents were available — penicillin, cloxacillin, ampicillin, erythromycin, tetracycline, clindamycin, cotrimoxazole, nalidixic acid, metronidazole, kanamycin, chloroquine, continued on page 7 In November 2000, Andrew Simor, the Head of Microbiology at Sunnybrook and Women’s College Health Sciences Centre, travelled to Zimbabwe as a medical volunteer. He took this issue’s cover picture during his stay. It shows at least 14 people who were undergoing active investigation for tuberculosis (TB) on one day in the TB clinic at Howard Hospital. Out of Africa — Experiences of a Canadian Doctor in Zimbabwe
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,043 | 0,006 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».