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Record W2062677928 · doi:10.1093/litthe/frr041

Societies of Peace: Matriarchies Past, Present, and Future. Edited by Heide Goettner-Abendroth.

2011· article· en· W2062677928 on OpenAlexaboutno aff
Carol P. Christ

Bibliographic record

VenueLiterature and Theology · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental ethicsPolitical scienceSociologyPsychoanalysisPhilosophyPsychology

Abstract

fetched live from OpenAlex

This book will probably be dismissed or ignored by many scholars, though it should not be. Why? Because most scholars have no point of reference for understanding much less evaluating the claims made in this book, and because it is widely accepted that matriarchies do not exist and that the claims made by feminists about female power in prehistory have been vastly exaggerated. That would be a shame, for this book not only provides information about societies past and present, but also offers suggestions for how we might imagine a post-patriarchal future before we destroy the possibility of human life on planet earth. First, let me clarify a misunderstanding that is likely to arise before the covers of the book are even opened. Most English-speakers understand ‘matriarchy’ as ‘the opposite of patriarchy’. The very word ‘matriarchy’ conjures up societies in which women rule over men with iron fists, lead armies, control all the wealth and power, hold men as slaves, and sexually abuse men and boys. Though this misconception may tell us something about the oppressive nature of patriarchies, it tells us nothing at all about the peaceful and relatively egalitarian societies discussed in this book. These societies are for the most part matrilineal, matrilocal, and matrifocal or mother-centred, and mother-honouring. Within them men have important economic and social roles and play a significant part in the lives of their sisters’ and female maternal cousins’ children. Second, let me offer a point of reference. In his popular documentary on the Himalayas, comedian, adventurer, and environmentalist Michael Palin met with the Masuo singer Namu at her home in the Lugu Lake area of China. Namu explained to an astonished and dare I say amazed Palin that in her culture girls and women choose their sexual partners, meet them in their mothers’ homes, and are free to send them back to their mothers if they do not find them suitable—even after they have children with them.

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)0.002
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0020.003
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0300.011

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 head0.015
GPT teacher head0.269
Teacher spread0.254 · 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".

Quick stats

Citations2
Published2011
Admission routes1
Has abstractyes

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