Bibliographic record
Abstract
nd Roger White has relayed positive comments he heard on his travels. Best of all, w have received enough contributim fill lids issue comfortably, and even to make a stat on the next. Computer Go Subscriptions We've created the first two issues as a sort of ov'-grown thought experiment, to see if there wcee enough interest to justify a regular bulletin. The American Go Association and some private donations paid a part of the costs. But most were conmuted by editor. Much as we like thought experimenls, the time has come to try to put Comutr Go on a self-sustaining basis. Beginning with issue #3, the cos for 1-year (four issue) subscripdons will be as follows: USA: USS10 Canada: CanS12 Elsewhere: US$12 (ainnail) Subscribers in the USA or Canada may pay by personnl check, payable to Coraltoter Go. Subscrihets elsewhere should use intenmtkml money orders, etc. Any potential subscribers for whom this presems a problem, for currency control Subscribers in the United Kingdom may pay by
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.530 | 0.429 |
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; the direct Gemma label and the distilled Codex classifier 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".