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Record W2531180330 · doi:10.5070/sd992032326

The Evolutionary Origins of Kinship Structures

2016· article· en· W2531180330 on OpenAlexaff
Bernard Chapais

Bibliographic record

VenueStructure and Dynamics eJournal of Anthropological and Related Sciences · 2016
Typearticle
Languageen
FieldPsychology
TopicPrimate Behavior and Ecology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsKinshipFictive kinshipEvolutionary biologySociologyGenealogyEpistemologyAnthropologyBiologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Patrilineal kinship structures are among the most complex manifestations of the impact of kinship on human social life. Despite the fact that such structures take highly diverse forms across cultures, that they are absent in many human societies and, moreover, that they are not observed in other primate species, a comparative analysis of human and nonhuman primate societies reveals that human kinship structures have deep evolutionary roots and clear biological underpinnings. I argue here that the first patrilineal kinship structures came into being as the emergent products of the combination, in the course of human evolution, of ten biologically grounded components, seven of which are observed in our closest relative, the chimpanzee, the remaining three being consequences of the evolution of pair-bonding in humans. This indicates that contemporary patrilineal kinship structures are not cultural creations, but cultural constructs that built upon, and diversified from a rich biological substrate. The same reasoning applies to many other complex human kinship phenomena, such as marital arrangements. I conclude that models and theories from cultural anthropology must be compatible with the relevant biological evidence.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.327
Teacher spread0.308 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueStructure and Dynamics eJournal of Anthropological and Related SciencesSame topicPrimate Behavior and EcologyFrench-language works237,207