Is Writing Correct and Well-Organized Characters Necessary for Academic Achievement? A Comparison of the Relationship Between Kanji Writing Scores and Academic Achievement on Two Scoring Criteria
Bibliographic record
Abstract
本研究は小学1～6年生155名を対象に漢字書字課題を行い、正しく整っている／判読可能の2基準で採点し、学力および視覚情報処理能力との関係を検討した。結果、双方の採点基準で学力との相関を認めたが、整った文字は判読可能文字に比して相関係数が有意に高くはならなかった。また文字の正確性や綺麗に書くこと自体が学習となる下学年では整った文字と視知覚および視覚認知の相関が強く、相関は学年が上がると弱くなることから、整った文字を習得する過程では視知覚・認知機能の負荷が高く、上学年で整った文字を書くためには文字の詳細なイメージを思い浮かべる必要性から視覚性ワーキングメモリーへの負荷の高さが示唆された。よって学力を従属変数とした場合に正しく整った文字が書けることの蓋然性は確認されず、文字形態を整える指導に注力することは、発達障害をはじめとする認知機能に個人内差のある児童の学習到達度には好影響とはならない可能性が考えられた。
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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 | 0.004 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".