Discourse-Pragmatics in Children With Autism Spectrum Disorders: Argument Omission and Lexicalization
Bibliographic record
Abstract
日本の自閉症スペクトラム障害（ASD）児が、Du Bois（1987）の「好みの項構造」の談話・語用論的制約に対する感受性を有するか否かを検討した。言語発達段階で統制したASD児と定型発達（TD）児各2名における動詞の項の省略と語彙化、および非言語情報に関して分析を行った。その結果、「好みの項構造」の制約と一致した言語パターンがみられ、ASD児が言語においては、情報を提供する構造や談話の語用論的な制約に対する感受性をTD児と同様に有するということが示唆された。このことは、「普通の会話」や「一見正しく見える伝達行動」（大井, 2002）と見なされ、ASD児のコミュニケーションの問題を過小評価してしまう危険性もある。代名詞化に際しては、ASD児は非言語情報をTD児に比べて有意に少なく使用しており、非言語情報を対象特定のために有効に活用しないことが示唆された。ASD児のコミュニケーション能力の発達への支援を考えるうえでは、非言語情報の処理に関するさらなる検討が必要である。
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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 | 0.002 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".