All-Female Classes in High School Computer Science: Positive Effects in Three Years of Data
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In a three-year study, female students from all-female computer science (CS) classes were compared to male and female students from mixed-gender CS classes. Participants were 250 students enrolled in an elective Grade 11 CS course (63 females from three all-female classes and 155 males and 32 females from nine mixed-gender classes). Participants completed a questionnaire assessing perceived support from teachers and parents, computer-related attitudes, and future academic and occupational intentions. Females from all-female classes reported higher levels of perceived teacher support, confidence, and future academic and occupational intentions than did females from mixed-gender classes. Females from all-female classes reported levels as high as those reported by males on perceived teacher support, whereas males reported higher levels than did females from mixed-gender classes on perceived teacher support, confidence, intrinsic value, and future intentions. The present study provides some initial empirical evidence supporting the positive effects of all-female classes in CS at the high school level.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it