MétaCan
Menu
Back to cohort
Record W2779500575 · doi:10.3724/sp.j.1041.2017.01483

The temporal courses of word frequency effect and syllable frequency effect of Chinese handwritten production in the old: An ERP study

2017· article· en· W2779500575 on OpenAlexaff
Jieying He, Qingfang ZHANG

Bibliographic record

VenueActa Psychologica Sinica · 2017
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsSyllableSpeech recognitionNull (SQL)Production (economics)Computer scienceNatural language processingPsychologyLinguisticsArtificial intelligenceEconomics

Abstract

fetched live from OpenAlex

摘要: 本研究运用事件相关电位技术, 考察了老年人(60岁以上)汉语词汇书写产生过程中的词汇频率效应和音节频率效应的时间进程。实验中采用图画命名范式, 要求被试在看到图画之后迅速且准确地写出相应的名称。结果表明:词汇频率和音节频率影响汉字书写的潜伏期, 表现为高词汇频率词的书写潜伏期短于低词汇频率词, 高音节频率词的书写潜伏期短于低音节频率词; 在书写产生的早期阶段, 词频与音节频率效应独立发生, 早期词频效应可能来源于正字法词典中信息的提取, 早期音节频率效应可能来源于语音词典中对音节的提取, 且词频效应早于音节频率效应, 这为“正字法自主假设”提供了支持证据。在书写产生的晚期阶段, 词频和音节频率之间存在交互作用, 这可能是由于语音词典和正字法词典之间的双向联结, 激活的双向扩散引起的。语音信息在书写产生过程被激活, 在较晚的阶段影响了正字法编码过程。

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.411
Teacher spread0.376 · 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.

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

Citations4
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueActa Psychologica SinicaSame topicPhonetics and Phonology ResearchFrench-language works237,207