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Record W4399946982 · doi:10.5040/9798400640889

The Dirty Dozen

2003· book· en· W4399946982 on OpenAlexaboutno aff
Bruce E. Johansen

Bibliographic record

VenuePraeger eBooks · 2003
Typebook
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDozenMathematicsArithmetic

Abstract

fetched live from OpenAlex

Forty years after the publication of Rachel Carson'sSilent Spring, this important study examines the history, industrial uses, and harmful effects of the twelve most commonly used organochloride chemicals. All have been fully or partially banned by the Stockholm Protocol, an international treaty signed by about 120 countries in December 2000. Among the twelve are the dioxins (the active ingredient in Agent Orange) and polychlorinated byphenyls (PCBs), which are toxic in minute quantities. Johansen pays special attention to the Inuit of the Arctic, where these chemicals have been bio-accumulating to dangerous levels, moving up the food chain to a degree of toxicity that some Inuit mothers are no longer able to safely breast-feed their infants. The polar stratospheric ozone has been devastated by emissions of chlorofluorocarbons (CFCs), and new scientific findings connect global warming near the Earth's surface to significant cooling in the stratosphere. This synergy aggravates ozone depletion because the chemical reactions that destroy the ozone become more energetic as temperatures drop. Synthetic toxins have taken their toll on minority ethnic groups in the United States, and persistent organic pollutants have inflicted physiological damage on humans and other animals. Finally, Johansen explores the estrogenic effects of such chemicals. Sperm counts have declined as much as 50% in 50 years.

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)0.002
metaresearch head score (Gemma)0.016
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 score0.184
Threshold uncertainty score0.614

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.003
Scholarly communication0.0070.005
Open science0.0020.005
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.1840.110

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 head0.022
GPT teacher head0.298
Teacher spread0.276 · 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

Citations12
Published2003
Admission routes1
Has abstractyes

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