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Record W4206267329 · doi:10.1093/ae/tmab065

Paul R. Ehrlich: Of Bombs and Butterflies

2021· article· en· W4206267329 on OpenAlexaboutno aff
Marlin E. Rice

Bibliographic record

VenueAmerican Entomologist · 2021
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsBiologistPopulationThe arcticEntomologyEnvironmental ethicsHistoryBiologyEcologySociologyDemographyPhilosophyOceanographyBotany

Abstract

fetched live from OpenAlex

Paul R. Ehrlich is an American entomologist and biologist who is widely known for his best-selling book, The Population Bomb, published in 1968 and with more than three million copies in print. In this book, Ehrlich issued dire warnings about human population growth and subsequent catastrophic effects upon the planet. During the last five decades, Ehrlich has been outspoken about environmental issues that confront humankind and the environment, and his perspectives continue to be both highly praised and harshly attacked, frequently from outside the scientific community. Ehrlich began his career as a research assistant studying the development of DDT resistance in Drosophila, and as a field officer surveying insects in the Canadian Arctic and along the Alaskan Bering Sea. He has earned degrees from the University of Pennsylvania (A.B., Zoology, 1953), the University of Kansas (M.A., 1955, and Ph.D., 1957, both in entomology), and seven honorary degrees, including...

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)0.002
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: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.004

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 head0.032
GPT teacher head0.333
Teacher spread0.302 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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