Development of Expectancies About Own- and Other-Gender Group Interactions and Their School-Related Consequences
Bibliographic record
Abstract
This study examined children's expectancies about interactions with own- and other-gender peers. Goals were to examine expectancies about the outcomes related to own- versus other-gender group interactions, assess cohort and temporal changes in expectancies, and assess the effect of expectancies on school-related outcomes. Students in second and fourth grades (N = 412, 47% girls, Mage = 7.15 and 9.10 years, respectively) were followed longitudinally for 1 year. Results supported hypotheses that social costs and inclusion-enjoyment that children expect in interactions with own- and other-gender peers represent four constructs. Expectancies varied by gender, age, and differentially predicted school outcomes with inclusion expectancies more strongly relating to outcomes than cost expectancies. Implications of children's expectancies about gendered contexts are discussed.
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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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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".