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
Declining female enrollment in undergraduate Computer Science programs is a serious problem. Part of the solution lies in retaining more of the female students currently enrolled; even more important, however, is increasing initial enrollment. Many believe lack of interest to be rooted in stereotypes of computer science formed early in high school: that it is a boring subject, devoid of interesting applications and stimulating only to 'geeks'. To attract high school females to CS, and to determine whether early exposure to the interesting breadth of CS and its applications might ameliorate such attitudes, a week-long Computer Science Seminar for Grade 9 and 10 girls was held at the University of Waterloo. The seminar consisted of lectures, labs and activities chosen to demonstrate the breadth of CS and to dispel the negative stereotypes. Pre- and post-seminar surveys indicate a substantial increase in interest, translating directly into increased desire to take high school CS courses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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