Bibliographic record
Abstract
contents: 1. the Romantic fragment 2. life would want to die, a little 3. pain itself is the meaning, in Nietzsche 4. martyrs do not underrate the body 5. inwardly, an Actor prepares 5b. brother, bro: it's only you that overhears you 5c. J is like Hamlet / Herzog / Holden Caulfield / Raskolnikov 5d. they take him to a basement & they feed him METH 6. a surface is revealed / the depths are all inferred 6b. my Self is all depth: a long internal vertical 6c. Joyce knows not the inside of ideas 6d. perception of depth is maladaptive 7. by knowing Death, humans are the Woken Ones 8. all as straw, or graphomania 8b. i tend to write thru / tho unless i'm imitating English 9. Finnegans Wake as Literature's endgame 10. Hard Realism: Hemingway, Knausgård 11. the cause of pain, in Buddhism 11b. duḥkha is uh-hukha: the gut's double throb
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.210 | 0.060 |
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".