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Record W4206267329 · doi:10.1093/ae/tmab065

Paul R. Ehrlich: Of Bombs and Butterflies

2021· article· en· W4206267329 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.558

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
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