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Record W4205556680 · doi:10.12987/9780300213744

The House of Owls

2020· book· en· W4205556680 on OpenAlexaboutno aff
Tony Angell

Bibliographic record

VenueYale University Press eBooks · 2020
Typebook
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsNaturalismQuarter (Canadian coin)Power (physics)ArtArt historyGeographyHistoryArchaeologyPhilosophyEpistemologyPhysics

Abstract

fetched live from OpenAlex

Tony Angell, master artist and naturalist, offers an intimate account of owls he has observed, admired, and depicted for decades For a quarter century, Tony Angell and his family shared the remarkable experience of closely observing pairs of western screech owls that occupied a nesting box outside their forest home. The journals the author recorded his observations in, and the captivating drawings he created, form the heart of this compelling book—a personal account of an artist-naturalist’s life with owls. Angell’s extensive illustrations show owls engaged in what owls do—hunting, courting, raising families, and exercising their inquisitive natures—and reveal his immeasurable respect for their secret lives and daunting challenges. Angell discusses the unique characteristics that distinguish owls from other bird species and provides a fascinating overview of the impact owls have had on human culture and thought. He also offers detailed scientific descriptions of the nineteen species of owls found in North America, as well as their close relatives elsewhere. Always emphasizing the interaction of humans and owls, the author affirms by his own example the power of these birds both to beguile and to inspire.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.446
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.243
Teacher spread0.198 · 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 teacher head, 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

Citations0
Published2020
Admission routes1
Has abstractyes

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