MétaCan
Menu
Retour à la cohorte
Enregistrement W1490679662 · doi:10.1046/j.1420-9101.2000.0209b.x

From genes to religion, and back: A review by Bernard Crespi: Levels of Selection in Evolution. Edited by Laurent Keller. Princeton University Press, Princeton. 1999. 272 pp. ISBN: 0 691 00703 9 (Cloth) $59.50; ISBN: 0 691 00704 7 (Paper) $16.95.

2000· article· en· W1490679662 sur OpenAlexaff
Bernard J. Crespi

Notice bibliographique

RevueJournal of Evolutionary Biology · 2000
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEvolutionary Game Theory and Cooperation
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésBiologyGroup selectionSelection (genetic algorithm)Natural selectionCountercultureMulticellular organismSociologyEcologyGenealogyGeneticsGeneLawPolitical scienceHistory

Résumé

récupéré en direct d'OpenAlex

During my last meeting with W. D. Hamilton, he told me of his new theory for the origins of religions. By his hypothesis, many religions were started by persons who were able by force of personality to persuade or cajole members of a social group into becoming more co-operative among themselves, through enhancement of within-group unity. Some of the resulting increase in available group resources would be funnelled to the religious leaders, and the lion’s share remained with the newly devout, so all benefit. Natural selection among religions then promotes assimilation at best, or annihilation at worst, of competitors while, within religious groups, outspoken heretics are burned in this world and quiet ones presumably roast in the next. This book has as its goal the analysis of how such conflict and co-operation between and within levels of selection has given rise to genes, cells, multicellular organisms and social groups, and how the properties of these units, be they transposons, cancer, egg-laying hymenopteran workers or religious beliefs, have been shaped by multilevel selection. The book begins with overviews of multilevel selection theory (Reeve and Keller, and Leigh), and ends with a review of selection among cell and species lineages (Nunney). In between, we learn about current theory for the origin of life and cells (Szathmáry), sex and multicellularity (Michod), co-operation among insects (Keller and Reeve) and culture in humans (Maynard Smith), and how in each case conflicts have almost miraculously given rise to new, integrated levels and forms of biological organization. We marvel at the running battles and uneasy alliances and truces between the genes in genomes (Pomiankowski), the two sexes (Lessells), parents and offspring (Godfray), vertebrates in social groups (Kitchen and Packer) and species in communities (Herre), each a consequence of genetic conflict and confluence of interest. In the end, we are left with strong traces of the unity of life’s processes: how competition can generate co-operation which in turn creates new opportunities for cheating, and how conflicts of interest are resolved or not by force, policing, coercion, bribery or self-restraint in the genome or savanna. The lofty goals of this book are nicely addressed by a brilliant collection of authors, each of whom provides a well-written and scholarly review. As a result, the book should be of considerable interest to all evolutionary biologists, from miners of the gene banks to gene-culture coevolutionists. But forgive me if I am left wanting more, and left wondering if one of the motivations of this book, the crucifixion of group selection’s passionate adherents (see Pollock, 1989; Sober & Wilson, 1998), has not taken on undue fervour. Where in this book are the unrelated cofounding ants that provide such a beautiful example of classical group selection ( Rissing et al., 1989 )? Where is the myxoma virus evolving lower virulence by group selection (see Lewontin, 1970; also Herre, 1993)? And where are Hamilton’s (1975) and Alexander’s (1989) arguments that group selection has driven much of human evolution? There are new insights from these phenomena and views, even if a between-group perspective is mathematically equivalent to the spectacularly successful gene-centred dogma. Make no mistake, this is a stunning, remarkable and timely book. But it could have taken its subject much further by including such a top-down group-selectionist perspective, and by exploring the convergences and parallels between formerly disparate situations. What are the similarities and differences in why and how division of labour evolves, among genes, cells, organisms and mutualistic species? Is it coincidence that division into germ and soma in primitive multicellular forms, and division of social insect colonies into morphologically distinct queen and worker castes, occur at similar colony sizes? Are the mitochondria that cause cytoplasmic male sterility usefully considered eusocial? When do we expect and find interminable arms races between conflicting elements, instead of stable polymorphism maintained by opposing selection at different levels, or one party taking all? A synthesis chapter at the end of this book could have addressed these questions and more by drawing on material scattered throughout its pages, and set the course for future studies. But then, perhaps it is enough that the book will stimulate another towards this goal. In the mountains of Switzerland live colonies of ants that are apparently infected by a virus causing them to lose their kin recognition abilities. These colonies send forth wandering missionaries who spread the virus which, like a religion, leads to a unity born from sharing of horizontally transmitted elements rather than sharing of genes by kinship. The memes in this book deserve to be similarly spread, but also probed and questioned. Only by this process will we come to understand how life, genomes, humans and all other levels and units of selection have evolved.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,064
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,012
Tête enseignante GPT0,259
Écart entre enseignants0,247 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

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
Publié2000
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of Evolutionary BiologyMême sujetEvolutionary Game Theory and CooperationTravaux en français237 207