Founding of the AIAA Women of Aeronautics and Astronautics
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2023-0889.vid The AIAA Women of Aeronautics and Astronautics committee, WoAA, began in 2018 as a coalition of several university student groups for women and gender minorities in aerospace engineering. WoAA’s mission - to provide support, empowerment, and networking opportunities for women, gender minorities, and underrepresented individuals in the aerospace field - works to elevate AIAA’s diversity initiatives. In the summer of 2019, WoAA was established as an AIAA committee and has since expanded its focus to include both supporting university student members as well as smoothing the transition for members from being active participants in their undergraduate and graduate aerospace programs to being active members in the aerospace professional community. This paper provides an overview of the founding of WoAA and provides an update about the committee's current activities and plans for the future.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.229 | 0.050 |
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".