Bibliographic record
Abstract
The glial trees I will chop the mesquite today.Autoclave the axe at 1218C, Soft tissue blade. And till the beds, leavingThe furrows of your brain to fallow: A grey, nitrate-sucking matter.To arbitrate Between arteries and roots.With my pinking-shears. Deep pause.For the Winged Reaper who will burn this malignant tare.No. The axe is laid unto the root.I will chop the mesquite today.Autoclaved the axe at 1218C. And the weight-bearing exercise sprigsOsteoblasts from the dry chunk-barkdmixing Mud and skull.Inoperable!The iron mocks between my strawberry hands, Which pray That I will regret having sold Your black appaloosas.Aren't you proud to see me fell it?As if your body still were able to trim and Sing, and muck the stalls.Here, a widening hole, undaunted By my surgical knots, brimming With the blood from last night's monsoon.Oh! In the angiogenesis, There were romantic intentions and, 100 acres of myelin sheath.How did we come here, to This desert.And how do we exit but By the white lightning's crack.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".