Bibliographic record
Abstract
81, 88-9, 228 Ampère/Maxwell law, 198 angular velocity matrix/operator, 32-7 see also rotation matrix animations, 111-18 astronomical aberration, 46, 100-1, 110-11 astronomical observations, 119 aberration of light, 46, 110 cosmic dust, 255 light bending, 234, 235, 237 orbital precession, 232 photon scattering, 158 red-shift, 212 star trails, 31 atomic clocks, 69 'barn and pole' experiment, 95-6 base vectors, 8 Bianchi identities, 252 binary neutron stars, 232 black holes, 228, 240-2 Boyer-Lindquist coordinates, 240, 241 Cartesian coordinates, 4, 7-10 Cauchy horizon, 104 causality, 94 centrifugal force, 144 C ¸erenkov radiation, 84 cgs units, 162-3 charged particles see particle dynamics Christoffel symbols, 142, 144, 217 classical mechanics, 25-7, 40, 110, 124, 140, 148 Clerk-Maxwell's equations, 46, 48, 162-3 clock synchronization, 5-6, 61, 66-8, 92-3, 193-4 collapsed objects, 228, 240-2 collisions, particle, 152-9 Compton scattering, 157 conservation of energy, 244 conservation of momentum, 152-4 constant gravitational field, 215-22 constrained particles, 140, 145-7 contravariant components, 16, 19-20 coordinate basis, 10-11 coordinate time, 5, 6, 7 coordinates, 3, 6-8 vs observers, 135 see also generalized coordinates cosmic censorship hypothesis, 243 cosmic dust, 246-7, 254 cosmic microwave background (CMB), 27, 28 cosmic rays, 158 cosmological constant, 255 cosmological red-shift, 212-13 coulomb, 163 covariance, 206 Practical Relativity: From First Principles to the Theory of Gravity
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.801 | 0.731 |
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".