The SYCL Toolkit: Creating a Program within a Professional Organization for Young Scientists
Bibliographic record
Abstract
The Society for Young Clinical Laboratorians (SYCL) is a program created by the AACC to serve the needs of its younger members. The goal of SYCL is to provide clinical laboratorians early in their professional lives with career-enhancement opportunities that include programs, resources, and advice to enrich their professional development. A smaller group of SYCL members selected by the AACC president forms the Executive SYCL Committee, which is tasked with representing the larger SYCL membership and leading the development and support of the Society's goals in collaboration with the organization's leadership. The SYCL program is uniquely supportive of young scientists (<40 years of age): It not only provides comprehensive resources but also advocates for the development of the AACC's young scientists who constitute the SYCL membership (approximately 800 members as of 2013). Whereas the day-to-day activities of SYCL are largely left up to the Committee itself, both the AACC leadership and the SYCL Committee are cognizant of …
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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 | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.022 |
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".