MétaCan
Menu
Back to cohort
Record W27197746 · doi:10.1038/npre.2011.5562.1

Are men evolutionarily wired to love the "Easy" buttons?

2011· preprint· en· W27197746 on OpenAlexaffabout
Ирина Трофимова

Bibliographic record

VenueNature Precedings · 2011
Typepreprint
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAttributionPsychologySocial psychologyMeaning (existential)Power (physics)Developmental psychology

Abstract

fetched live from OpenAlex

Abstract Men's drive for group control and power appears to be an evolutionary inheritance, but it is females, and not males, who developed better abilities for prolonged control and group interaction while males have higher rates of ADHD and autism. This contradictory allocation of sex-related abilities describes the observable behavior, but not the internal meaning attribution leading to the motivation of men and women. Our study in Canada, China and Russia shows that men estimate power- and status-related concepts in significantly more positive terms than women, but give significantly more negative estimations to work-related and reality-related concepts. Men also have a consistent tendency to estimate concepts as less real (even "Reality"), less complex (even "Complexity"), less organized (even "Order"), and more stable (even time-related concepts), than women. These results are interpreted in terms of the evolutionary characteristic of the male sex for irrelevance/redundancy pruning of excessive complexity in human activities.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.063
GPT teacher head0.360
Teacher spread0.296 · 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
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
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueNature PrecedingsSame topicEvolutionary Psychology and Human BehaviorFrench-language works237,207