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Record W4317583788 · doi:10.2514/6.2023-0889

Founding of the AIAA Women of Aeronautics and Astronautics

2023· article· en· W4317583788 on OpenAlex
R. Davidson, Annika E. Rollock, Matthew Marcus, Elaine Petro, Alexandra N. Straub, Emily R. Kusulas

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAIAA SCITECH 2023 Forum · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsAstronauticsAeronauticsAerospaceDiversity (politics)EngineeringPolitical scienceEngineering ethicsManagementAerospace engineeringLaw

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.266
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it