Call for nominations for Morley Medal
Bibliographic record
Abstract
The ACS Cleveland Section seeks nominations for the 2017 Edward W. Morley Medal, which recognizes significant contributions to chemistry through achievements in research, teaching, engineering, research administration and public service, outstanding service to humanity, or industrial progress. The medal includes an honorarium of $2,000, which will be presented at a meeting of the Cleveland Section in May 2017. The area of eligibility includes parts of the U.S. and Canada within about 400 km of Cleveland. For detailed nomination information, visit www.csuohio.edu/sciences/dept/cleveland_acs/morley.htm. Nominations should be e-mailed to Mark J. Waner, chair of the Cleveland Section Morley Medal Committee, at mwaner@jcu.edu or mailed to Mark J. Waner, Department of Chemistry, John Carroll University, 1 John Carroll Blvd., University Heights, OH 44118. The deadline for nominations is Dec. 16.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.563 | 0.461 |
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".