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Record W2918701685

Twins Support Absence of Parity-Dependent Fertility Control in Pre-Transition Western European Populations

2019· preprint· en· W2918701685 on OpenAlexaboutno aff
Gregory Clark, Neil Cummins, Matthew Curtis

Bibliographic record

VenueRePEc: Research Papers in Economics · 2019
Typepreprint
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsFertilityParity (physics)DemographySingletonTotal fertility ratePopulationBirth controlFamily planningBiologyPregnancySociologyResearch methodologyGeneticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

Using evidence from the accident of twin births we show that for three Western European pre-industrial population samples -- England 1730-1879, France 1670-1788 and Quebec, 1621-1835 -- there is no evidence for parity-dependent control of fertility within marriage. If a twin was born to a family in any of these populations, average family size increased by 1 compared to families with a singleton birth at the same parity and mother age, with no reduction of subsequent fertility. Twin births also show no differential effect on fertility when they occurred at high, as opposed to low, parities. This is in contrast to populations where fertility is known to have been controlled by at least some families, such as England, 1900-49. There a twin birth increased average births per family by significantly less than 1.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.072
GPT teacher head0.366
Teacher spread0.294 · 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 designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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