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Record W4238188700 · doi:10.1002/9781119547174.ch256

Twin Studies and Personality

2020· other· en· W4238188700 on OpenAlexaff
Breanna E. Atkinson, Philip A. Vernon

Bibliographic record

VenueThe Wiley Encyclopedia of Personality and Individual Differences · 2020
Typeother
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsWestern University
Fundersnot available
KeywordsTwin studyPersonalityBehavioural geneticsTraitPsychologyPsychopathologyBig Five personality traitsSchizophrenia (object-oriented programming)Developmental psychologyCognitive psychologySocial psychologyEvolutionary biologyBiologyClinical psychologyHeritabilityPsychiatryComputer science

Abstract

fetched live from OpenAlex

Behavioral genetics as applied to psychology concerns the use of genetic methods in scientific research to investigate the nature and origins of individual differences in human behavior. Hundreds of twin studies converge on the finding that individual differences in virtually every personality trait that has been examined are primarily attributable to additive genetic and non-shared environmental factors. Non-additive genetic and shared environmental effects make a small to negligible contribution. Twin studies of abnormal personality or psychopathology, such as schizophrenia, also implicate genetic and non-shared environmental factors.

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 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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.448
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.095
GPT teacher head0.326
Teacher spread0.230 · 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 teacher head, not a consensus.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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