Difficulties in raising children experienced by mothers of infants
Bibliographic record
Abstract
目的: 1歳児をもつ母親の育児困難感の有無を把握し, 母子の属性と育児困難感の関連を明確にする. 対象: 千葉県内の協力が得られた2市に在住する1歳児をもつ全母親910名 方法: 2005年10月に無記名自記式質問紙による郵送調査を実施した. 育児困難感がある母親の把握には母子愛育会日本子ども総合研究所が作成した子ども総研式育児支援質問紙1歳児用を使用した. 結果: 分析対象は有効回答が得られた362名 (39.8%). 育児困難感がある母親は21.0% (76名) であった. その内, 育児困難感I. IIともにもっとも強いランク5である面接相談が必要とされる母親は4.4% (16名) であった. 育児困難感がない母親は79.0%で, その内訳では全くなしが45.0%であった. 母の属性7項目との関連では, 妊娠中に異常があった母親と関連がみられた (p<0.05). 子どもの属性7項目との有意な関連はなかった. 結論: 育児困難感がある母親は21%であり2000年の川井らの報告と比較して増加していた. また, 妊娠中に異常があった母親は育児困難感を持つことが明確になった. 今後は育児困難感軽減に向けた取り組みの充実が急務であり, そのためには妊娠中からの予防方法の開発, 汎用性がある育児困難感尺度の開発が必要である.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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 teacher head, 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".