Bibliographic record
Abstract
Prediction is extremely difficult, especially about the future. Yogi Berra despite the revolutionary quality of his ideas , charles Darwin lived a very traditional and settled existence at Down House in the Kent village of the same name. As a privileged member of the landed class, he assumed his pastoral responsibilities toward its 500 or so inhabitants with characteristic goodwill. He was appointed a Justice of the Peace in 1857 and fulfilled his parochial duties until his death. Across the lobby from his comfortable study where he wrote The Origin of Species , he would sit in the dining room behind a large table with a high-backed chair and mete out amiable justice to local miscreants. His magisterial agenda ran the limited gamut from prosecuting poachers through discouraging animal cruelty to issuing pig licenses. The contrasting images of Darwin as a morning naturalist and an afternoon judge are so suggestive of the main themes that I have sought to identify and develop throughout the book. Indeed, Darwin's daily routines capture the nexus, both literal and figurative, between large scientific themes and focused legal applications: The complete Darwin is equal parts theorist and equal parts practitioner. Similarly, while biology and jurisprudence seem to be entirely separate disciplines, the fact is that they share a vital dependence on close and contextualized study that is as much accountable to parochial circumstances as it is to generalized principles.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.009 | 0.016 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.021 | 0.006 |
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".