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Record W2356712877

Research on Children's Recognition Potential Evoked by Chinese Character Stimulus

2005· article· en· W2356712877 on OpenAlexaboutno aff
Yaping Fu

Bibliographic record

VenueZhongguo linchuang xinlixue zazhi · 2005
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyStimulus (psychology)ElectroencephalographyOcciputAudiologyChinese charactersScalpCommunicationDevelopmental psychologyCognitive psychologyNeuroscienceArtificial intelligenceMedicineComputer scienceAnatomy
DOInot available

Abstract

fetched live from OpenAlex

Objective: To investigate the feature of Recognition Potential(RP)for eight-year healthy children which is evoked by Chinese character stimulus. Methods: We examined 53 eight-year healthy children with Canadian Stellate Systems 32 Channels Digital EEG and three stimulus of Chinese characters, Korean words, confused Chinese characters, with two patterns(Routine and Fast-flow pattern). While the stimulus information is sent to participants ,EEG is recorded simultaneously. RP and event related potentials(P300) are extracted from EEG and analyzed. Results: The latency of RP is earlier than that of P300 for three stimulus. The latency of the Chinese character is the shortest of all, and the latency of confused Chinese characters is longer than that of Korean words. As for two stimulating patterns, there is no difference between Routine and Fast-flow pattern. RP of Chinese character stimulus is most significant at scalp dipole of supra-occiput and sub- occiput than that of others. Conclusion: RP and P300 could be useful for assessing the development of healthy children's cognitive function, especially for some disabilities, such as poor-reading disorder and disturbed maturation of language.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.014

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 head0.029
GPT teacher head0.357
Teacher spread0.328 · 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; both teacher heads agree on what is shown here.

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
Published2005
Admission routes1
Has abstractyes

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