Bibliographic record
Abstract
I'm sitting in the car.Staring straight ahead at some stranger's house.What the fuck is taking so long?How long does it take to exchange money for drugs?I'd honk, but the last time I did that Tyson flipped.I scan through the channels on the radio.Nothing on.I flick it to the Christian station.Sometimes AM is good for a laugh.It's one of those shows from down south that gets rebroadcast up here.A guy who sounds like a cross between Boss-Hog and Jimmy Swaggart is describing hell, the gnashing of teeth, he says, along with a host of other evils, is awaiting fornicators and idolaters in the next life.Bullshit.I turn it off.It's hot.But I've got to stay in the car.A cop drives by and I slink down in my seat.Fuck.I hate being seen here.This place is sketchy.Big fence, mad dogs, a ton of broken down cars, and the house has moldy cardboard covering most of the windows.A guy got knifed right here last week.I nervously tap out a rhythm on the dashboard.Then I see him.Coming out of the house.I can tell just by his posture that he scored.He slides into the car.Fuck he smells bad.Like I don't know… rotten ass?God!I roll down the window and start to drive."Whatcha get?" "Couple of those quick-release tens" "How many?" "Twelve" "That's it?Twelve total?Six each?" "Yeah, you dick, it's all he had.You don't have to do 'em y'know" "Sure.Yeah right.Let's just go to my place and get fixed.Do you have some change for me?"I ask hopefully."I owed him forty.He wouldn't have sold to me if I hadn't paid him what I owed.I get a cheque next week; I'll get you back.Or you can wait till I get my script.""Whatever.You're an asshole" "Fuck off.Get your own hook up then" A Moment of Clarity Caleb HuntingtonPapermill Iii.
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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 | 0.008 | 0.043 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.018 |
| Scholarly communication | 0.023 | 0.029 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.008 | 0.026 |
| Insufficient payload (model declined to judge) | 0.122 | 0.064 |
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".