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Record W2397254872

FOXP2 as the genetic basis for the capacity to shift between analytic and associative modes of thought

2013· article· en· W2397254872 on OpenAlexaff
Courtney Chrusch, Liane Gabora

Bibliographic record

VenueVUBIR (Vrije Universiteit Brussel) · 2013
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFOXP2Associative propertyFocus (optics)Mode (computer interface)Cognitive scienceCreativityCognitive psychologyComputer scienceLanguage evolutionPsychologyEpistemologyMathematicsPhilosophySocial psychologyPure mathematicsBiologyHuman–computer interactionPhysicsGene
DOInot available

Abstract

fetched live from OpenAlex

It was previously proposed that the burst of creativity in the Middle/Upper Paleolithic following the appearance of anatomically modern humans was due to the onset of contextual focus, the capacity to shift between an associative mode of thought conducive to forging connections and breaking out of a rut, and an analytic mode conducive to logical problem solving. Hominids could then generate ideas in an associative mode, and refine them in an analytic mode, and process representations at multiple levels of detail, and from different perspectives. This resulted in richer understandings of their world. It is proposed that the FOXP2 gene, which evolved at this time, is responsible for onset of contextual focus. FOXP2 thereby created an unprecedented need for language to (a) keep track of representations for oneself, and (b) capitalize on different perspectives of others. This explains why FOXP2 is implicated in language but not uniquely associated with it.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.296
Teacher spread0.252 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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