Reply [to “Comment on ‘Coupling semantics and science in earthquake research’”]
Bibliographic record
Abstract
We thank Thorne Lay and Susan Schwartz for their comment on our Forum article (Eos, 85(18),4 May 2004, p. 180). They agree with our main point that slip rates of a fault should not be confused with stress conditions or frictional properties, but they criticize our use of the word “locked” and the interseismic deformation model we used to illustrate a conceptual error. We agree with Lay and Schwartz that the term “locked” has connotations beyond purely kinematical and that “no slip” may be more appropriate. The present reply is to further discuss the meaning of the simple deformation model.
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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 | 0.008 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.046 | 0.044 |
| Insufficient payload (model declined to judge) | 0.014 | 0.010 |
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".