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Record W4407789624 · doi:10.5040/9781399415729

Great Auk

2025· book· en· W4407789624 on OpenAlexaboutno aff
Tim Birkhead

Bibliographic record

VenueBloomsbury Publishing Plc eBooks · 2025
Typebook
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental sciencePolitical science

Abstract

fetched live from OpenAlex

<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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.596
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.5960.382

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.

Opus teacher head0.031
GPT teacher head0.207
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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