Bibliographic record
Abstract
途上国における出稼ぎ労働者の数と仕送りが急速に増加しており、それが家計におよぼす影響に関心が集まっている。本稿では、貧困世帯が多数居住するカンボジア農村を対象に、出稼ぎと仕送りが、6歳から17歳までの子供の就学、とりわけ、就学達成度におよぼす影響について分析する。そのために、『カンボジア社会経済調査2009年版』を用い、操作変数法を適用することにより分析を行う。従来の研究では、適切な操作変数が得られず、出稼ぎ家計員の有無と仕送りの変数を同時に組み込んで、出稼ぎと仕送りによる子供の教育への純効果を推計することは困難であった。この点を克服するための方法を考案した点に、本稿の貢献がある。分析結果は、仕送りによる正の影響は家計員の出稼ぎにともなう不在による負の影響を相殺し、純効果が正であること、および、この効果は、とくに、女子において顕著であることを示している。
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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 | 0.011 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.020 | 0.028 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".