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Whether and How Handedness Affects Individuals’ Cognitive Performance? – A Literature Review

2024· review· en· W4394923770 on OpenAlexaff
Ziduan Li, Sophia Xu, Chaomin Lian, Zixian Yang, Shuhang He, Zhicheng Rao

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2024
Typereview
Languageen
FieldNeuroscience
TopicHemispheric Asymmetry in Neuroscience
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCognitionPsychologyAffect (linguistics)Cognitive psychologyLateralization of brain functionCognitive scienceNeuroscienceCommunication

Abstract

fetched live from OpenAlex

This literature review article aimed to compile research published in recent years regarding the relationship between bodily habits, specifically handedness, and cognitive performance in memory, attention, and information processing. The article contains three chapters, discussing each aspect separately with a collection of studies and evaluations. The article is able to combine results from studies and form a model graph specialized for studies’ summaries. Through the synthesis of investigations, handedness seemed to have some relationship with cognition. To be more precise, ICH individuals (those people with mixed hands) have the capacity to create a connection between brain hemispheres, which enhances their performance in memory tests and allows them to better integrate divergent information. In addition, people tend to focus more on their dominant hands; this can affect a person’s attention to things happening around them. Lastly, right-handed people performed better in generic cognition tests, and cross-activation of brain lateralization has been demonstrated.

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)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.383
Teacher spread0.332 · 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 designOther design
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

Citations1
Published2024
Admission routes1
Has abstractyes

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