Bibliographic record
Abstract
Reviewed by: Last Laughs: Prehistoric Epitaphs by J. Patrick Lewis Elizabeth Bush Lewis, J. Patrick Last Laughs: Prehistoric Epitaphs; by J. Patrick Lewis and Jane Yolen; illus. by Jeffrey Stewart Timmins. Charlesbridge, 2017 32p ISBN 978-1-58089-706-8 $16.99 Ad Gr. 2-5 Elegiac tombstone inscriptions have long been targets for good-natured skewering (think Disney’s Haunted Mansion) and even sharper-edged satire, and the idea of R.I.P.s directed at deceased dinos is promising. Execution doesn’t match concept here, though, as Lewis and Yolen present a variety of verse that’s more often miss than hit. The poems, neatly arranged chronologically from the Paleozoic through Cenozoic Eras (with specific periods noted as well), are seldom the concise tributes with startling punchlines that readers will probably expect, and few would fit on a tombstone. Instead the content is a grab bag of general comments on the featured creatures accompanied by a few italicized lines of scientific commentary or, in the disappointing instance of Plesiosaur, a tacit apology for how the information is incorrect. Nor does the boneyard theme enjoy visual treatment; a wackily cartoon-styled paleontologist Prof. M. Piltdown (sorry, kids, no explanation of the joke is given) appears in most scenes, re-imagining how his subjects may have met their demise. A closing note about geological layers in which dino bones are found lends curricular utility, and Yolen’s pithy “Holy Moly, Woolly Mammoth” is clever enough to make readers understand how this project might have worked. As the authors themselves suggest, “Maybe you could write your own epitaphs to round out our collection.” Copyright © 2017 The Board of Trustees of the University of Illinois
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.207 | 0.102 |
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".