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Enregistrement W2015842929 · doi:10.1111/j.1601-183x.2006.00202.x

Dai Rees and Steven Rose (Eds): The New Brain Sciences: Perils and Prospects

2006· article· en· W2015842929 sur OpenAlexaboutno aff
David Hay

Notice bibliographique

RevueGenes Brain & Behavior · 2006
Typearticle
Langueen
DomaineMedicine
ThématiqueAttention Deficit Hyperactivity Disorder
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychologyPolitical sciencePsychoanalysisMedicine

Résumé

récupéré en direct d'OpenAlex

The New Brain Sciences: Perils and Prospects Dai Rees and Steven Rose (eds) Cambridge University Press, 2004. £24.99, xiv + 301 pp. ISBN 0-521-53714-2 This has been a difficult book to both read and review, because the authors are so diverse in profession and stance. The book developed out of two conferences held in Stockholm and London in 2001 and 2002 and sought to go beyond what are the developments in neurosciences to the questions of ‘why are these happening?’, ‘what do these mean for society?’ and even ‘are there legal implications?’. The choice of authors is interesting. Given so much of the development of the neurosciences has been in the USA (p. 3), it is of interest that there were no participants from North America, except for one from Canada. Steven Rose has long been a vociferous critic of many areas of ‘medical’ and ‘biological’ approaches to human behavior and some of the authors such as David Healy are predictable, given his longstanding attacks on psychopharmacology and the quality of the evidence base from drug trials. The more recent need for disclosure of randomized control trials and of the involvement of pharmaceutical companies has hopefully reduced some of the problems Healy has publicized in the last few years. I admit to being confused by his last few paragraphs. There is recognition of the growing field of psychopharmacogenomics that there are individual differences in the response to particular medications for psychopathology, but does this really mean clinical trials will ‘depend on screening and rejecting patients on genetic grounds’? Other authors are less obvious choices for the contributions they made. Angus Clarke has written on the ‘inappropriateness’ of pursuing research into the genetics of intelligence and other human behavioral traits. As a clinical geneticist experienced in discrete medical conditions, it is not clear he is the most appropriate person to comment on strategies for research into ‘normal’ behavior, a debate I have already been involved in (Hay 2003) over the 2002 Nuffield Council on Bioethics Report which he endorses. To give the editors credit, they do include chapters which disagree with their personal viewpoints. While in his generally excellent overview and introduction, Steven Rose does rail against even the diagnosis of Attention-Deficit Hyperactivity Disorder (ADHD), far less its treatment by stimulant medication, the chapter on ADHD by Paul Cooper gives a much more pragmatic view from the perspective of what happens in reality in schools. I found very insightful his comment on p. 258 that the debate over ADHD does ‘tell us a lot about the tribalism of competing disciplines and professions’. There were some chapters which I found really thought provoking. Peter Lipton chaired the Nuffield Council Working Party on Pharmacogenetics, and this experience combined with his expertise in the philosophy of science made his chapter on ‘Genetic and Generic Determinism’ a joy to read. Everyone in this field should contemplate his last sentence ‘Genetic knowledge does not itself threaten free will, but what we do with such knowledge is another story’. Equally the next chapter by Alexander McCall Smith on neuroscience and the law deserves close reading. Better known to many because of his humorous detective stories, McCall Smith as a Professor of Medical Law provides an outstanding account of behavioral genetics and individual responsibility, combining legal, philosophical and empirical studies with the final conclusion ‘responsibility survives the insights of neurosciences and behavioural genetics’. I have used both these chapters with my students and have been impressed by the discussion they engender. It would be churlish to go through the book, indicating which chapters I did or did not agree with, although I feel I do have to single out Hilary Rose's chapter as doing a disservice to feminism. There are so many relevant issues that could have been discussed, ranging from Katherine Dalton's controversial work on premenstrual syndrome as a judicial issue to the recent and exciting developments about hormonal influences and treatments for women with schizophrenia, to the shameful treatment of Rosalind Franklin in the race to discover the structure of DNA. Hilary Rose missed an important opportunity, unlike Lorraine Radford, whose chapter on femicide (‘misogynous killing of women by men’) combines both empirical data and thoughtful comments about the limits of biological explanation far less expiation of such inexcusable behavior. I suspect this is a book every reader will both love and hate. It represents such a range of opinions that there are bound to be some chapters with which you agree totally and others with which you disagree just as much. It is unlikely your views on what are the ‘good’ chapters will be the same as mine, but that is the uniqueness of this text. David A. Hay † † Curtin University PO Box U 1987 Perth, WA 6845 Australia E-mail: d.hay@curtin.edu.au

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,367
Score d'incertitude au seuil0,540

Scores Codex et Gemma par catégorie

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

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 Opus0,034
Tête enseignante GPT0,322
Écart entre enseignants0,288 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations3
Publié2006
Routes d'admission1
Résumé présentoui

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