Explore the IEEE PELS Students and Young Professionals Committee and Get Involved [Students and Young Professionals Rendezvous]
Bibliographic record
Abstract
Over the last years, the number of student and young professional members in IEEE PELS has increased. Students and young professionals now represent over 20% of the membership body and make significant contributions to the dynamism of IEEE PELS. Via the IEEE PELS Students and Young Professionals (S&YP) committee, a subgroup within the PELS membership committee, students and recent graduates in IEEE PELS host a variety of events at IEEE conferences and create activities to engage PELS members while enabling unique networking and mentorship opportunities. With volunteers all across the globe (Algeria, Brazil, Canada, Germany, India, Portugal, Spain, Sri Lanka, and the United States), the S&YP committee also establishes a global and inclusive community for engineers, researchers, academics and students in the area of power electronics. Through its endeavors, the S&YP committee aims to support the professional development of students and recent graduates, further the mission of IEEE PELS and increase the diversity of its membership and volunteering bodies.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.127 | 0.072 |
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".