Bibliographic record
Abstract
<JATS1:p>The life, death and afterlife of one of the true icons of extinction, the Great Auk</JATS1:p> <JATS1:p>The great auk was a flightless, goose-sized bird superbly adapted for life at sea. Fat, flush with feathers and easy to capture, the birds were in trouble whenever sailors visited their once-remote breeding colonies. Places like Funk Island, off north-east Newfoundland, became scenes of unimaginable slaughter, with birds killed in their millions. By 1800 the auks of Funk Island were gone. A scramble by private collectors for specimens of the final few birds then began, a bloody, unthinking destruction of one of the world’s most extraordinary species.</JATS1:p> <JATS1:p>But their extinction in 1844 wasn’t the end of the great auk story, as the bird went on to have a remarkable afterlife; skins, eggs and skeletons became the focus for dozens of collectors in a story of pathological craving and unscrupulous dealings that goes on to this day.</JATS1:p> <JATS1:p>In a book rich with insight and packed with tales of birds and of people, Tim Birkhead reveals previously unimagined aspects of the bird’s life before humanity, its death on the killing shores of the North Atlantic, and the unrelenting subsequent quest for its remains.</JATS1:p> <JATS1:p>The great auk remains a symbol of human folly and the necessity of conservation. This book tells its story.</JATS1:p>
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.596 | 0.382 |
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".