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Enregistrement W2984698339

Book: Lovers and Livers: Disease Concepts in History

2005· article· en· W2984698339 sur OpenAlexaboutno aff
John Green

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomainePsychology
ThématiqueHistorical Psychiatry and Medical Practices
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDiseasePsychoanalysisAmbivalenceCredibilityMedicinePsychologyPsychiatryEpistemologyPhilosophyPathology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Conventionally, medicine deals with those troubles that we agree to define as diseases. However, the selection of diseases from the range of problems that afflict us is neither inevitable nor straightforward, as illustrated by the much debated candidate cases of those alphabet disorders of modernity such as RSI (repetitive strain injury) and ME (myalgic encephalopathy). Given the large body of work that explores the emergence, construction, and negotiation of diseases, Duffin perhaps makes heavy weather of convincing readers that diseases are not merely biological categories, but emerge when social demand and medical possibility coalesce.​coalesce. Figure 1 Jacalyn Duffin University of Toronto Press, £29.95/$27.50, pp 229 ISBN 0 8020 3805 0 Rating: ★★⋆⋆ Her first case study is lovesickness. Drawing on a wide range of classical literature and medical writing, Duffin describes how the dysfunctions of love have been, since classical times, not only metaphorically considered as illness, but at times also literally medicalised as disease. Does lovesickness really exist? Duffin is ambivalent on the status of underlying biological realities. Some “symptoms” seem stable over the centuries, she suggests, but not its credibility as a medical problem. She draws on phenomena as diverse as adultery, nymphomania, venereal disease, sex manuals, and masturbation to argue that “love was once a card-carrying disease” (p 65) but appeared to disappear in the 20th century. However, overtones of disease persist in concepts such as transference, crimes of passion, co-dependency, and brain scans suggesting that love is similar to obsessive compulsive disorder. These lists are fascinating in their passing details, but raise the question about the legitimacy of tracing such equivalences through time. How can we know that there is a real underlying illness if we recognise it only from its endlessly varied manifestations, sometimes medicalised, sometimes not? How can we read historical writings on love from anything other than a 21st century understanding of what that means? Duffin's arguments suffer a real tension between the relativism of a historian recognising that biology has been a rather different object through the centuries, and the fastidiousness of a clinician anxious to correct a few wrong assumptions on the way, such as the “gender bias” in the management of heart disease. More generally, though, from what privileged vantage point can we assess what is a bias, responsible for incorrectly framing a disease concept, and what are the social forces that create diseases? The story of the emergence of hepatitis C is one of litigation and cultural mores about deserving and undeserving sufferers. Political needs had their part in shaping medical research that constructed a new disease from what was essentially a left over category of liver disorder, and dividing it into two diseases with different meanings depending on how it was contracted, through blood transfusion, or through lifestyle. But Duffin has already implied that it could not be otherwise: we cannot have a pure disease, untainted by the unpleasantness of politics and morality, for illnesses cannot become diseases without a social network to make them possible. Both stories end with a plea for a more population based approach to disease, in which problems (whether they are those of women reluctant to leave violent husbands, or injecting drug users at risk of hepatitis) are seen as residing in the social order, rather than within a medical model. Again, hardly a new idea, but one well worth reiterating. Not all troubles are, or should be, the province of medicine.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,998
Score d'incertitude au seuil0,247

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0030,004
Science ouverte0,0010,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0740,012

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 Opus0,024
Tête enseignante GPT0,336
Écart entre enseignants0,311 · 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.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreAutre

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
Publié2005
Routes d'admission1
Résumé présentoui

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