Bibliographic record
Abstract
First Officer Lindsey Van Beusekom is an Embraer 145 pilot for ExpressJet Airlines and the interim chair of the Fee for Departure Committee at the Air Line Pilots Association, Int’l (ALPA). After just two years as an ExpressJet instructor where she has been a pilot since 2013, Van Beusekom’s proficiency led the company to promote her to lead Human Factors instructor in 2018. Van Beusekom maintains FAA rating qualifications in single- and multiple-engine commercial aircraft, including the Embraer 135/145. Responsible for creating content for advanced qualification program curriculum, including initial new-hire and recurrent classes, Van Beusekom is also tasked with ensuring that human factors instructional classes are in compliance with the Federal Aviation Administration’s Advanced Qualification Program and Safety Management System guidelines. Van Beusekom began her ALPA work with the Association’s Critical Incident Response Program, designed to mitigate the psychological impact of an incident or accident and aid in the normal recovery from these events before harmful stress reactions affect pilot job performance, careers, families, and health. Her work has included actively supporting Part 121 passenger operations throughout the United States, Canada, and Mexico, as well as opposing the repeal or watering down of FAR 117 or first officer qualifications. Along with her other leadership roles within the ExpressJet pilot community, Van Beusekom also served ALPA’s membership as a Flight Operations Quality Assurance gatekeeper from 2015 to 2017. In her current role as the interim chair of ALPA’s Fee for Departure Committee, Van Beusekom works closely with ALPA staff and pilot leadership from each of the 14 ALPA regional pilot groups in the United States and Canada. With more than 15,000 of the Association’s 60,000 pilot members flying for regional airlines, Van Beusekom is tasked with developing strategies to counter threats and capture opportunities in the piloting profession ranging from fostering career progression to improvements in pay, benefits, working conditions, and retirement packages. A native of Nashville, Tenn., Van Beusekom holds a bachelor of science degree in business administration from City University in Washington state, and is currently completing a master of business administration degree at Southern New Hampshire University. She is a Women in Aviation International member, and her love for children has led her to become an active volunteer with Young Eagles in Little Rock, Ark., and the Ronald McDonald House in Houston, Tex., where she currently resides.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.558 | 0.272 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".