Notice bibliographique
Résumé
Herbert Gintis is the Ernest Hemingway of the behavioral sciences. His sentences are short, sharp, and declarative. There is no preamble. He gets right to it. There is very little in the way of qualification. There is a lot of confident assertion. It can be kind of exhausting. It is also rather exhilarating to read a no-frills, no-nonsense approach to integrating the human behavioral sciences. Gintis is not here to argue and persuade; he is here to tell you how it is. This does not mean that I agree with everything he says, but I like his style: The boldness of the claims made is matched by an amazing breadth of knowledge and a deep appreciation for the contributions made to the social sciences by the likes of Geertz, Mead, Malinowski, Durkheim, Weber, and Bourdieu. His impatience with the lack of a rigorous analytical core in the human behavioral sciences—and his attempt to construct such a framework—does not entail that traditional approaches, such as ethnographic “thick description,” must be done away with altogether. Instead, he actively embraces such descriptive accounts, arguing that these, along with historical insights, are crucial for conceptualizing the dynamic, complex systems of human societies. As a result, statements such as “My suggestion for an analytical core for sociology will be called economic imperialism by some…. My retort is that these fields are in such serious need of a unifying theoretical framework that a little imperialism from more successful fields should be welcome” did not annoy me half as much as they usually do (although let the record show that I still found them deeply annoying). Similarly, when Gintis tackles the contentious, often-vituperative clash over inclusive fitness theory between E. O. Wilson (along with Martin Nowak and Corina Tarnita) and virtually everybody else in evolutionary biology, he does so in equally bold fashion, but with a generosity and even-handedness that gives both sides their due. One obvious reason for this is because Gintis's project is explicitly designed to incorporate a supra-individual level of analysis into the evolutionary fold. This means embracing multilevel selection, in which group selection is conceptualized as selection for groups with a fitness-enhancing size and structure rather than as selection among groups, as well as individual-level processes. As he puts it, we need to bring together the “atomistic” inclusive fitness view with the “structural” multilevel- or group-selection view and “analyze the corresponding interplay of forces.” In this way, Gintis argues, we can investigate human society more appropriately, avoiding an overly reductionist view that considers everything from an entirely individual perspective while also avoiding the idea that, as classic sociological theory would have it, individuals are shaped entirely by nebulous, poorly defined “social forces” that press down on them from above. The majority of the work presented in Individuality and Entanglement has been published previously and is brought together here to provide a comprehensive synthesis. On one hand, this has obvious advantages because it allows one to get a good grip on Gintis's body of work, which is impressive in scope. Along the way, one encounters not only the reformulation of economic theory and models, as well as work in gene-culture coevolution (including fascinating work on how selection for the internalization of norms that serve individual interests can enable socially oriented moral norms to “hitchhike” and come along for the ride), but also a historical analysis of the work of sociologist Talcott Parsons and how Gintis builds on this. On the other hand, there is little in the way of linkage between the individual chapters, and it can be hard to get a sense of how these cohere, at least on an initial reading. Happily, Gintis provides a summary of the themes he wishes to develop at the very beginning of the book, and the book is best seen in this light—as the marshaling of evidence in support of a number of interlinked themes rather than a linear argument. Gintis's central theme is that humans are not to be characterized as Homo economicus—selfish maximizers of personal well-being—but as Homo ludens, “man, the game-player”: beings who are fundamentally social and whose rationality can be understood only in a social context—that is, by recognizing society as a game with rules. Everything distinctive about human social life flows from this fact. Playing the game of life, in turn, requires a moral sense: The rules we make are morally binding and not simply instrumental to achieving our goals. Gintis then makes a move that is crucial to his attempt at unifying the social and natural sciences and which represents another important theme: Human minds should be seen as socially entangled. Specifically, human knowledge and beliefs (“cognition”) are argued to be distributed across our social networks and therefore do not reside in individual minds. Here, Gintis echoes anthropologist Edwin Hutchins, who made a very similar argument in his classic Cognition in the Wild, as well as work by Kim Sterelny and Andy Clark on the scaffolded or extended mind, although none of these receive a mention. In Gintis's hands, the idea of entangled minds provides further grounds for criticizing conceptions of humans as rational actors in the Homo economicus mode. Gintis demonstrates that although entangled minds produce behavior that is rational, such behavior does not conform to the standard axioms of rational choice. He then goes on to argue that humans display what he terms “distributed effectivity”—a form of collective rationality that can explain, for example, why we believe it is right to vote for a particular candidate and that our vote has counted for something, even though it is clear that our single vote had no effect on the outcome of the election. This leads to a deeper consideration of human preferences, where Gintis argues that in addition to the self-regarding preferences of standard economics, we have both other-regarding and universal preferences, both of which are crucial to understanding human society (where the latter not only involve consequential moral principles but also include virtues such as courage and loyalty). Importantly, it can be shown that humans trade these preferences against each other and that such trade-offs are explained by rational choice theory, even though the preferences we possess are not those of the classical rational actor. In other words, it is a mistake to view humans as irrational, as many in behavioral economics do, because it is the economists’ rational-actor model that is at fault, not human rationality itself. The final theme that Gintis develops is the case for transdisciplinary research. By Gintis's lights, this means a concerted effort to deal with the fact that psychology, biology, economics, and sociology each make claims that are seen as key to understanding human behavior but which are ignored or denied by all the others. By making each discipline compatible with all the others, as well as compatible with evolutionary theory, it will become possible to unify the behavioral sciences. There is room for everyone in Gintis's account, although, in the main, they have to buck up, knuckle down, and get some mathematics under their belt. I therefore have my doubts that those working in anthropology and sociology will be convinced by Gintis's argument. The telegraphic delivery and unapologetic imperialism play a part in this, but the main reason is that Gintis's analysis ultimately represents a tweaking of established economic (and evolutionary models) that (apparently) assume that our current economic system is somehow inevitable. The inclusion of levels of analysis above the individual and the recognition of a moral component to human behavior are clear advances for those of us in the human evolutionary sciences (although I suspect that there are many in that camp who will object to Gintis's multilevel approach). However, I fear that many in the “traditional” social sciences will see things very differently. As an illustration, reading Gintis reminded me of the oral defense of one my master's students, whose thesis was on maternal investment strategies in vervet monkeys. One member of her committee was a social anthropologist, whose very first comment was, “Why did you choose to adopt a capitalist perspective on this issue?” The incomprehension that produced the question was met with an equal degree of incomprehension on the part of the student. For the latter, it was obvious that economic and biological rationality would coincide in this particular way; for the committee member, it was an untested (and egregious) assumption imposed on the system from the outside, as though capitalism represented the natural order of things. For this reason, I fear that Individuality and Entanglement will succeed only in preaching to the choir. Maybe that is not a bad thing, and maybe that is its intention. Perhaps the aim is simply to enable already-scientific approaches to become more closely aligned and mutually consistent while still leaving space for the more interpretative, hermeneutic approaches. As a pluralist rather than an imperialist, I would like to think so anyway.
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 | 0,026 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,007 | 0,044 |
| Communication savante | 0,021 | 0,040 |
| Science ouverte | 0,003 | 0,013 |
| Intégrité de la recherche | 0,010 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,026 | 0,005 |
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 ».