Bibliographic record
Abstract
BLUE PLATE SPECIAL 3th HELPINGS HOBO TOURS 2022 BACK BY POPULAR DEMAND! OK! You caught us! We would be lying to you if we were to say that there was a great demand for this sequel outside a small cadre of ultra Emil fanboys and gals (we will leave it to your better judgement to sort all that out) who have (I assume) an easily treatable mental illness and pre-ordered this edition. Our Legal Beagle (Ms. Kimmie) says since they paid upfront, we need to create and ship… Hopefully, long before Emil becomes aware of this and we can hire on more security! SEINE DATELINE: UNDISCLOSED LOCATION BYLINE: Are you the Brain Smasher? RELEASE DATE: 6 August 2022 Are you the Brain Smasher that I have been so warned against??? Are you here to demand justice or punishment upon my waning soul? I thought about that for more than a bit most recently as age and the limits of abuse that I can still brush off as yet my long traditional fallback excuse of "Another long, hard night!" Oh, Brain Smasher...Have I kept you waiting so long? Please understand that traffic is bad (again) these days -which you would think would not be so as our brave Government ____* (*NOTE: Use your own pronounces as I don't have the space to work through all of the current combinations – Feel FREE to use mine...it is "MASTER!") have gone the extra mile to make its use only possible with an extensive ban loan and an acceptable Social Cred Score? Anyway...I ended up having to walk over here as my Social Credit Score continues to set new records on its downward path (currently minus 4,200 points) so don't blame me... I am the true victim here!!!! Can I help the fact that the faceless, humorless clerks of the New Order dislike me so? "Can I offer you a few FREE Emil GOF Zombie Samples...Honest! No cost...like totally FREE...!!!! I know! It is a large part of the reason that I am so poor!”
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.851 | 0.711 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".