Presentation: Voyage of the Turtle
Bibliographic record
Abstract
With magnificent images from the oceans of three continents and evocative readings from Carl Safina's new book, Voyage of the Turtle is a global journey. Together, we pursue Earth’s last warm-blooded monster reptile, the skin-covered Leatherback Turtle. The Leatherback has seen dinosaurs come and go and is the closest thing we have to a last-living dinosaur. Imagine an 800-pound turtle and you’ve just envisioned merely an average female Leatherback; they can weigh over a ton. \n \nFrom tropical New Guinea jungle beaches to chilly waters off Newfoundland, we come face-to-face with animals, villagers, fishermen, and researchers living entwined lives. We let these co-existing creatures and people speak to us about how the oceans are changing and what it means for animals and us. We explore the importance of sea turtles to humans. We learn of ancient peoples who believed - and we meet some who still believe - that Earth was created by, and rests upon, a great turtle. \n \nAlong the way, we experience the vast oceanic realm that is the sea turtles’ theater of life; how sea turtles evolved and outlived the dinosaurs, how they grow, migrate thousands of miles from feeding to breeding areas. We learn how the Leatherback can warm its body and achieve diving depths approaching a mile while holding its breath. \n \nThroughout our travels, we explore a curious fact: that in the Pacific, sea turtles are careening toward extinction, while in the Atlantic sea turtle recovery is the mode. In the Pacific, the Leatherback – the majestic centerpiece of our narrative - has declined 95 percent during just the last two decades. By contrast, in the Atlantic the Leatherback is increasing, with some populations growing exponentially. We learn why, what is working and what is failing, and what can be done. The mighty Leatherback’s inspiring Atlantic comeback lets us envision its long-term survival.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.304 | 0.091 |
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".