Bibliographic record
Abstract
contents i. re Gödel's ontological argument ii. deep in pi's numeric noise iii. from Nothing, something iv. endless in the wrong direction, tragic v. they give you all Eternity to answer vi. what of God's mercy? vii. informed consent and prayer viii. i won't live on, perhaps. a deed i've done may ix. my selective memory x. Janus means: in close-up of foam, two faces xi. a liveable world is a readable world xii. what Supervenes from this? xiii. at each extreme our naming is anachronism xiv. Cat is a collapsing of the wave-function xv. diminishing returns in the history of Experiment xvi. all those undershared Nobels xvii. ice preserves the Cold from heat xviii. a desert spreads xix. Pinker's wit, on jokes xx. Rome surrounds St. Paul / Paul is now the center xxi. each is a gathering Ministry xxii. white boy shot execution-style xxiii. the McDonald's Statement of Claim xxiv. first & last: Don Quixote / Ulysses xxv. The Summer of Rave xxvi. this electro is intrinsically anonymous xxvii. all thru Asia, Drake-Rihanna xxviii. WHO IS BETTER: PLATON OR KANT?
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.279 | 0.088 |
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".