Bibliographic record
Abstract
The DNA keys of the genetic keyboard are necessary if the music is to be played, but they are neither the player nor the score. Robert G. B. Reid , Biological Emergences: Evolution by Natural Experiment In my early teenage years, I used to slip down to my older brothers’ room in the basement when they were not home and listen to their record collection, especially the Beatles’ Abbey Road , Janis Joplin’s Pearl , and, at Christmas, a record by Herb Alpert and his Tijuana Brass. I would search through the stack of LPs and belt out Woody Guthrie’s “This Land Is Our Land” and “The Farm-Labor Train,” and his son Arlo’s rendition of Steve Goodman’s “City of New Orleans.” Married three times, Woody Guthrie and his wives had eight children. It was during his third marriage that his increasingly unpredictable behavior was finally diagnosed as Huntington’s disease – the same degenerative disease that had led to his mother’s institutionalization thirty years previously. He died on October 3, 1967.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.093 | 0.036 |
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".