Bibliographic record
Abstract
Kanisha Bembridge is a full-time faculty member with the College of Aeronautics at Embry-Riddle Aeronautical University (ERAU) Worldwide specializing in aviation safety and human factors. She also has the privilege of serving as an Associate Program Coordinator for the Bachelor of Science in Aeronautics (BSA) degree program. Her experience as an aviation professional spans just over 19 years, holding leadership positions at major airlines such as Air Canada, Lufthansa German Airlines, and Express Jet (Delta Connection). She worked as an Aviation Safety Trainer for above and below wing airline operations and facilitated Crew Resource Management (CRM) training for airline crew. Her career in aviation then transitioned to airport operations and emergency management at Hartsfield-Jackson Atlanta International Airport, where she helped to manage the day to day operations of the World’s Busiest Airport and coordinated with various agencies and stakeholders in response to incidents and major events.\nMrs. Bembridge was awarded a Bachelor of Science in International Relations from the University of the West Indies (Mona Campus) and a Master of Science in Aviation Safety Management from the University of Central Missouri. She also holds graduate and professional certifications in Project Management and Emergency Management.
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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; both teacher heads 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".