Bibliographic record
Abstract
Various reference volumes and seismological textbooks have tables of elastic constants for isotropic media expressed in terms of each other in order to present a quick, authoritative reference for translation of elastic constants from one set of parameters to another. As an example, one may possess seismic inversion results in terms of acoustic impedance, compressional-to-shear velocity ratio and density, yet prefer to interpret them in terms of the Lamé impedances, λρ (lambda-rho) and μρ (mu-rho), and possibly also λ/μ, the Lamé impedance ratio, as championed by Goodway (2001). The table presented here is developed from the tables of Sheriff (1991), and Mavko et al. (1998), with added material from Goodway (2001) and Helbig (1994). Its merit is to be more comprehensive than previous tables known to the author, but it also comes with a certain redundancy. Though there is a good probability that the reader may find the desired “translation” here, no such table will be complete, let alone perfect.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".