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Record W4240155650 · doi:10.1353/cjs.2004.0032

Altruistically Inclined?: The Behavioral Sciences, Evolutionary Theory, and the Origins of Reciprocity (review)

2004· article· en· W4240155650 on OpenAlexvenueno aff
Marion Blute

Bibliographic record

VenueThe Canadian Journal of Sociology · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEvolutionary Game Theory and Cooperation
Canadian institutionsnot available
Fundersnot available
KeywordsReciprocity (cultural anthropology)Irrational numberDilemmaSociologyField (mathematics)EpistemologyEvolutionary theoryVariety (cybernetics)Social psychologyHarmGeneralityPositive economicsPsychologySocial sciencePhilosophyEconomics

Abstract

fetched live from OpenAlex

Reviewed by: Altruistically Inclined? The Behavioral Sciences, Evolutionary Theory, and the Origins of Reciprocity Marion Blute Alexander J. Field , Altruistically Inclined? The Behavioral Sciences, Evolutionary Theory, and the Origins of Reciprocity. Ann Arbor: The University of Michigan Press, 2001, 373 pp. According to Field who is an economist, from the very beginning, research on humans subjects playing games have shown that humans behave altruistically more than is rational (in the strong sense of personal, material self-interest). In one-shot or repeated prisoner's dilemma games of fixed and known duration, people commonly, but irrationally, fail to defect first. In a variety of contexts, both experimental and historical, they refrain from harm and from massive retaliation, show a willingness to punish cheaters in the public interest and so on. As John Nash complained in a note to the first experimenters when learning [End Page 473] of their results, "I would have thought them (the subjects) more rational". Field wants his fellow economists, and rational choice theorists generally, to face up to the fact that they are struggling with a paradigm in crisis. He makes a weaker attempt to also address the "sociological/anthropological tradition". (They say the explanation is the norms of culture and social organization but where did these come from?). Field's solution is for both kinds of social scientists to fall back on biological evolutionary theory, but on group rather than individual selection. It is mildly embarrassing for his theory that people are also rather irrational in non-gaming situations dealing with statistical inference as shown by the other experimental economics tradition which garnered this year's Nobel prize. This can have nothing to do with altruism or group selection so a grab bag of explanations for those results are proffered. Despite being somewhat repetitive, this book was a pleasure to read. Given the premises, it is unfailingly logical and to the best of my knowledge technically correct in its treatment of the experimental gaming literature and the trait-group selection model. It also reflects a wide, careful and thoughtful reading of many literatures and there would be few readers who would not learn something new from it. However, I have a problem with some of Field's premises. First, he adopts single play or repeat but fixed-duration p.d. as the "canonical" form of strategic interaction. However, all organisms have life cycles. In none of these, even those that come closest such as annual plants and insects, is the exact length of those life cycles predictable down to the day, the hour, the minute. The same obtains for the length of genetic lineages. Hence for organisms living in social groups, repeated interactions of unknown duration, whether within or through generations, are the rule. Moreover, the very characteristic at issue, when thought of as a tendency to be more friendly than fearful (fearful, rather than aggressive as Field tends to think of it), is likely to bring cooperators into interaction with each other. This is all important because, as Field emphasizes, cooperation (mutual advantage) can sustain positive social relationships once cooperators become common, but he is convinced altruism (self-sacrifice) among non-kin, and hence group selection, is logically necessary to establish them in the first place. Secondly, he implicitly assumes that intraspecific predation rather than parasitism is the canonical form of social conflict. To be sure, future benefits are irrelevant if failure to defect at the first opportunity means you are dead — except that usually you are not. Just as theft arises more commonly in human societies than does murder, intraspecific parasitism of many kinds including food theft (kleptoparasitism) and dumping eggs in others' nests to rear arise more commonly in animal societies than does cannibalism say. Thirdly with asymmetrical interactions, he thinks establishing a double coincidence of needs is very unlikely. However, it happens with respect to wants millions of times a day in human societies with market economies. Multiple ecological niches and the numerous trade-offs in biological life histories including those of early [End Page 474] humans provide plentiful opportunities for specialization and exchange. To be sure the advantage is more in the getting than the giving or letting have, and to...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.005
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.339
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2004
Admission routes1
Has abstractyes

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