Survivors in Armor: Turtles, Tortoises, and Terrapins, by Ronald Orenstein [Review]
Bibliographic record
Abstract
With their armour of carapace and plastron, turtles are one of the most distinctive groups of organisms in the world.Yet few naturalists seem to know very much about turtles.Ronald Orenstein has set out to correct this oversight in this wonderfully fascinating and beautiful book.In ten chapters Orenstein covers all the major topics of turtle biology and conservation.The book begins with a general introduction to the diversity of turtles and their ecological complexity.Next, a thorough analysis of turtle evolution clearly charts out the competing theories of turtle ancestry.Two chapters provide a summary of each of the families of turtles, allowing the reader to see patterns within groups of turtles.The next few chapters cover various aspects of turtle physiology, ecology, and reproduction.The book concludes with two chapters on threats to turtles: one on sea turtles and one on all other species.Orenstein freely admits he is not a herpetologist,
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".