Bibliographic record
Abstract
5-%20/ 0' 0-*45%& '! )A ugust 2, 2006.Sirens blare.Running feet stampede the hall.Pulse racing, I search for a spot out of harm's way.Contingents of correctional offi cers converge, wielding batons and pepper spray."Get on your stomachs!",they scream."Don't move a muscle!"The offi cers bind our hands behind our backs using plastic fl ex-ties that are much stronger than the zip ties they resemble.The offi cer's panic only adds to the pandemonium.My mouth is dry.I've been breathing open-mouthed, out of control.Once the rush of adrenaline subsides, my pulse will return to normal and my mouth will moisten again.A few feet away, a prisoner is pressing a shirt against his throat.It's been cut open.He staunches the wound while waiting for the ambulance to arrive.After he's whisked away, prisoners begin to complain."My hands are turning blue!" "This is fucking bullshit!"To take my mind off the pain in my hands -the tingle rapidly turns to a sting, then to pinpricks of fi re -I listen to the offi cers' talk.I watch them as they watch us.Some take photos and write notes.Others stand around and look bored.A fan of the reality competition Rock Star Supernova I wonder who will be voted off tonight.Lying on my stomach with my arms tied behind my back, I try to look cool.It doesn't work.The smell of disinfectant and mouldy mop is a humbling experience.Prisoners secured in their cells come to their windows and stare.They are unimpressed by the chaos.This is how we do it -just another day.Most are happy they aren't cuffed up.I'm happy for them.Running out of distractions, I fi x my gaze on the solid steel door of what looks like the lid to my concrete casket.Lockdown looming large, my concrete coffi n beckons.
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) | 0.004 | 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".