Editorial: Women in science: structural geology and tectonics 2022
Bibliographic record
Abstract
Gender Equality is the fifth of the Sustainable Development Goals (SDGs) proclaimed by the United Nations for the 2030 Agenda (UN General Assembly, 2015). We are only a few years away from 2030 and we still have much work to do to achieve gender equality, also in academia. In particular in the experimental and technical careers (the so-called STEM fields), women still account for only 28% and 40% of engineering and computer science graduates, respectively and according to the United Nations. In academia, women in science contend with shorter and less well-paid careers, only 12% representation in national science academies, and underrepresentation in high-profile journals both as authors and as editors (UNESCO et al., 2021).
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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 | 0.007 | 0.035 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.015 | 0.016 |
| Insufficient payload (model declined to judge) | 0.027 | 0.021 |
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".