Bibliographic record
Abstract
Friends and colleagues of Frank Cunningham share their tributes in celebration and remembrance of Frank's scholarly and political contributions over a remarkable lifetime. The collection is dedicated to Frank and to his wife, Maryka Omatsu. Includes contributions from: Joseph Carens, Carol Gould, Michael Wade Donnelly, Melissa Williams, Ian Angus, Yoshikazu Nakatani, Esteve Morera, Edward Andrew, Seth Klein, Marjorie Griffin Cohen, Mario Reale, Peter H, Russell, Derek Allen, Kennedy Stewart, Michal Bodemann, Richard Stren, Igor Shoikhedbrod, Nicolas Blomley, Wayne Sumner, Ronald Beiner, Richard Sandbrook, Ingrid Leman Stefanovic, Philip Resnick, and Harry Glasbeek. Tributes were collected by Elaine Coburn and production by Sean Cain of Better World Communications.
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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 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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 teacher head, 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".