Bibliographic record
Abstract
What is the source of Allerton beck, or the ash barrows on Rombalds Moor? Home in a sootless bowl: a valley ruttles the chest of Mudpuppy town where we, goats dressed as mutton, hit the gown. Rain pips the new clearing in Jacobs Well. Moss clogs at Thistletake for which payment, all rearing swine shall feed the wood of the Lord in the time of Pannage when swine gorge on acorns and wild fruit. De-vine to depot entry: trams hum and ballet cranes spindle the car pyre. Gas binds in Mills Hill Malta factory weaving to high-visibility locks, turbine Pennines loco, and the Rochdale clock locked at one, the time of unscrupulous men whose sordid exactions provoked discontent like crows’ nests, crows ober the hills’ pillion, common pastures for the common. Have you ever clocked in? Click a parkin pig on the road of amerciament, the goit of Lord Clifford, copped in an empty neck with a headless arrow one moon before Towton: the boucher of Wakefield, barbarian dispatch killed by a bush. Don’t mess with a Halifax thaw when the banks slow with ice and mattress, the cuttings husked with industrial stone and OINTMENT, karlhaxes and pikestaves daily arrayed in wyrehatt doublets in this place so very full and populous, this place so very factious and seditious.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.681 | 0.563 |
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".