MétaCan
Menu
Back to cohort

The Evolutionary Approach to History

2018· book· en· W2791762903 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicLanguage and cultural evolution
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSociocultural evolutionEvolutionismDarwinismPhylogenetic treeCoevolutionSocial evolutionEpistemologySociologyEvolutionary biologySocial scienceAnthropologyBiologyPhilosophyGene

Abstract

fetched live from OpenAlex

There are three forms of modern Darwinian evolutionism in the social sciences and humanities: the gene-based biological, the social learning-based sociocultural, and gene–culture coevolution dealing with their interaction. This chapter focuses on cultural or sociocultural evolution. It begins with a discussion of the Darwinian-inspired evolutionary approach to history. It then outlines modern evolutionary phylogenetic methods borrowed from biology but now used extensively in the social sciences and humanities. The chapter provides examples of how language trees may be inferred; phylogenetic comparative methods that use language trees to answer questions about aspects of geographical, social, political, cultural, or economic organization; and phylogenetic investigations of material culture and traditions. It is concluded that culture does indeed “descend with modification.”

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.401
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.217
Teacher spread0.189 · 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