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Enregistrement W327918797

Infected Condoms and Pin-Pricked Oranges: An Ethnographic Study of AIDS Legends in Two Townships in Cape Town

2012· article· en· W327918797 sur OpenAlexaboutno aff
Jonas Sivelä

Notice bibliographique

RevueCultural analysis · 2012
Typearticle
Langueen
DomaineHealth Professions
ThématiqueAdolescent Sexual and Reproductive Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMythologyXhosaEthnographyNarrativeGender studiesHistoryQuarter (Canadian coin)CapeMedicineSociologyAnthropologyLiteratureClassicsArt
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction With nearly six million cases of reported HIV infections (UNAIDS 2010), South Africa has the highest number of HIV-infected persons in the world. The majority of those infected are black South Africans. Besides the high infection rate, the South African HIV/AIDS situation has gained attention due to perceptions of the disease that clearly deviate from what Western medicine would consider scientifically proven. The media and previous research have called these perceptions or myths. Earlier academic studies have given rather far-reaching interpretations of the reasons behind these (Parikh and Whiteside 2007; Leclerc-Madlala 2002; Niehaus 2005; Stadler 2003; Nattrass 2012). However, no one to date has thoroughly discussed what these or encompass; as a result, the terms AIDS myths and AIDS beliefs are rather inaccurate. Rather, my observations made during ethnographic fieldwork among the Xhosa people in Cape Town suggest that the HIV/AIDS related discourse referred to as AIDS myths or AIDS beliefs has some striking similarities with the narrative genre of legends. (1) Background During the first years of the twenty-first century, reports of the so-called started to spread from South Africa, first through the media, and later in academic writing. The most noteworthy and disturbing of these was the one claiming that sexual intercourse with a child would cure the disease--the virgin cure myth--which is also assumed to have increased the number of child rapes in South Africa (Pitcher and Bowley 2002). Other reports mentioned conspiratorial thinking and traits related to traditional mythology (Leclerc-Madlala 2002; Niehaus 2005; Stadler 2003). These reports became even more interesting when they were accompanied by ambiguous statements made by leading South African politicians. For example, South Africa's former president, Thabo Mbeki, questioned the causality between HIV and in 2000, insinuating that the disease was part of a conspiracy to increase drug sales (Iliffe 2006, 146-147). In 2006, the health minister at the time, Manto Tshabalala-Msimang, claimed that beetroot and garlic should be considered as treatments for HIV (Baleta 2006, 620). The current president, Jacob Zuma, caused a stir when he, during a rape trial in 2006, said that he had showered after sex with an HIV positive woman, suggesting that this act had reduced his risk of becoming infected (BBC 2006). Having examined the South African policy and its consequences, Parikh and Whiteside regard the political debate about the disease as confusing, suggesting that many people have found comfort in them and that the dubious political statements have had negative implications for behavior change, prevention, treatment uptake, and efforts aimed at reducing stigma (2007, 67). Pitcher and Bowley believe that the failure of the South African political leadership to acknowledge the causes, effects, and treatment of the disease has offered fertile ground for bizarre and dangerous to take root and flourish (2002, 274-275). Although Robins acknowledges that cultural interpretations of the disease are complex, he believes President Mbeki's unconventional view on AIDS, and the government's unscientific views caused profound confusion and uncertainty and possibly made popular forms of denial and explanations credible (2004). The news media have also discussed the relationship between public statements and myths; the view presented has often been congruent with the one above (Bevan 2006; Swarns 2000). Interestingly enough, none of these studies has actually discussed the very material and texture of these bizarre and dangerous myths or alternative explanations. Many of the previous studies also draw a rather clear line of causation between ambiguous political statements about the disease and the existence of what have been called myths. …

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)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,086
Score d'incertitude au seuil0,172

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0010,002
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,002
Études des sciences et des technologies0,0170,011
Communication savante0,0060,004
Science ouverte0,0030,005
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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.

Tête enseignante Opus0,200
Tête enseignante GPT0,494
Écart entre enseignants0,294 · 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'étudeQualitatif
Domainenon disponible
GenreEmpirique

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
Publié2012
Routes d'admission1
Résumé présentoui

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