Bibliographic record
Abstract
Once again, while Greg is slacking off on vacation, his two dogs, Mink and Clifford, nobly pitch in to keep his column going. For those of you who have not met them previously (they are semi-regulars to these pages), Mink is a brave, loyal, intelligent chocolate Labrador retriever whose duties include guarding the house and watching over the family by testing all food to make sure it’s safe to eat. Clifford, a small mixed poodle/spaniel, seems primarily to have the job of chasing tennis balls. As usual, their column takes the form of an imaginary dialog, much like those invented by Plato between Socrates and Glaucon. Of course, it’s also possible that Plato borrowed the literary device from Mink and Clifford. Classical scholars are still debating this point. Editor Mink (reading aloud): “It was the best of times, it was the worst of times.” Clifford: Well, which was it? Mink (ignoring him): “It was the age of wisdom, it was the age of foolishness.” Clifford: For Pete’s sake, make up your mind! Mink (sighing): I’m just reading you the opening of Charles Dickens’s novel A Tale of Two Cities. Clifford: It seems to me this guy Dickens really likes to cover his-Mink (quickly): Never mind. Greg suggested I might start with that quotation because he thinks the subject of our column this month is one more piece of evidence that we are living in the age of foolishness. I want to discuss the matter of Paleofood. Clifford (who wasn’t paying much attention until hearing the word “food”): Pail of food? I’d love a pail of food! What kind of food is in it? Mink: Not pail of food, Paleofood. It’s an increasingly popular food movement. Clifford: If the food is still moving, we can just jump on it and-
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.087 | 0.017 |
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".