A Theoretical Basis For Recruitment And Retention Interventions For Women In Engineering
Bibliographic record
Abstract
While women have dramatically increased their representation in many professions over the past t.hmdecades, they continue to be underrepresented in engineenngl.LeBuffe, in her annual survey of engineering enrollments and degrees for the Engineering Workforee Commission of the American Association of Engineering Societies, found that roughly 16'ZO of all bachelor degnxs in engineering were awarded to women in 19932.In 1993, women received only 9% of the doctoral degrees in engineering3.In the first quarter of 1994 there were 127,000 women employed as engineers, which was roughly 7% of the engineering work
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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 | 0.060 | 0.070 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.007 | 0.011 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".