Gender Differences in Children’s Math Self-Concept in the First Years of Elementary School
Why this work is in the frame
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Bibliographic record
Abstract
In the course of elementary school children start to develop an academic self-concept reflecting their motivation,thoughts, and feelings about a specific domain. For the domain of mathematics, gender differences can emergewhich are characterized by a less pronounced math self-concept for girls. However, studies are rather sparseregarding the early years of elementary school education, hence, the point in time when such gender differencesemerge yet remains a matter of debate. In our study, we found that the math self-concept of elementary schoolchildren (n = 81) declined from first to second grade. While no differences in math achievement were observedbetween girls and boys, it became apparent that girls’ math self-concept was already less pronounced than themath self-concept of boys in the first years of elementary school. Our findings emphasize the importance ofconsidering such gender differences even at the beginning of school education.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it