MétaCan
Menu
Back to cohort
Record W569221263 · doi:10.1017/cbo9780511606793

Culture, Biology, and Anthropological Demography

2004· book· en· W569221263 on OpenAlex
Eric Abella Roth

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

VenueCambridge University Press eBooks · 2004
Typebook
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPolygynyEcologySociobiologyMating systemEvolutionary ecologyHuman biologyBehavioral ecologySociologyInclusive fitnessPopulationMatingBiologyDemographyAnthropology

Abstract

fetched live from OpenAlex

Two distinctive approaches to the study of human demography exist within anthropology today: anthropological demography and human evolutionary ecology. The first stresses the role of culture in determining population parameters, while the second posits that demographic rates reflect adaptive behaviors that are the products of natural selection. Both sub-disciplines have achieved notable successes, but each has ignored and been actively disdainful of the other. This text attempts a rapprochement of anthropological demography and human evolutionary ecology through recognition of common research topics and the construction of a broad theoretical framework incorporating both cultural and biological motivation. Both these approaches are utilized to search for demographic strategies in varied cultural and temporal contexts ranging from African pastoralists through North American post-industrial societies. As such this book is relevant to cultural and biological anthropologists, demographers, sociologists, and historians.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.936
Threshold uncertainty score1.000

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 studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.036
GPT teacher head0.279
Teacher spread0.243 · 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