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What Kind of Miracle Was the U.S. Synthetic Rubber Program?

2022· book-chapter· en· W4391084988 on OpenAlexaboutno aff
Alexander J. Field

Bibliographic record

VenueYale University Press eBooks · 2022
Typebook-chapter
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsSynthetic rubberPoliticsBattleEngineeringPolitical scienceQuarter (Canadian coin)VetoNatural rubberForensic engineeringLawHistoryAncient history

Abstract

fetched live from OpenAlex

This chapter evaluates the U.S. Synthetic Rubber Program, which was designed as a response to the loss of Southeast Asian rubber imports during World War II. The initiative was hampered both by flawed design and by prewar denialism that the United States would or should become involved in the war, which led to delays in facilities construction. The U.S. Synthetic Rubber Program started late, failed to meet production targets before the last quarter of 1943, produced an imperfect substitute for natural rubber, and involved hundreds of millions of dollars of unnecessary expenditure. In the wake of a politicized battle over what feedstock should be used in the program, and after his veto of the Rubber Supply Act of 1942, President Roosevelt appointed a committee and instructed it to examine the perilous economic, military, and political situation in which the country then found itself. The chapter then discusses the crisis that brought the committee into existence and the substance of its September 1942 <italic>Report of the Rubber Survey Committee</italic>, referred to as the Survey Committee Report. It looks at the attempts to develop alternative plant-based sources of latex; the program's emphasis on petroleum; and the nationwide program of gas rationing to save rubber.

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 categoriesResearch integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.991
Threshold uncertainty score0.999

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 integrity0.0020.003
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 head0.018
GPT teacher head0.212
Teacher spread0.194 · 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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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