The Japanese Mental Lexicon: Psycholinguistic Studies of Kana and Kanji processing
Bibliographic record
Abstract
This book surveys the psycholinguistic dimensions of lexical access to the mental lexicon in Japanese, and attempts to synthesize the diversity of Japanese psycholinguistic research into the nature of written word processing in Japanese. Ten chapters focus on the nature of such psycholinguistic inquiry and its history, the structural origins of the Japanese script types and their relative frequencies, lexical access studies in kanji, the hiragana and katakana syllabaries, romaji, and mixed text processing, laterality preferences in kana/kanji processing and their implications for scientific discussions of language and cognition, evidence from eye-movement studies, the acquisition of orthographic skills by Japanese children, and a review of the implications and conclusions that arise from the contributions of such research. The text is directed at filling the need for an overview of this research because of its importance to theoretical modelling in linguistics and psychology, as well as aphasiology, mathematical and statistical linguistics, educational practices and governmental intervention in respect to language policies, and studies of linguistic and cultural history.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".