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Record W7098365163

Chem. Educator 2001, 6, 295–305 295 The Dry Martini: Chemistry, History, and Assorted Lore *

2011· article· en· W7098365163 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsKISS (TNC)FrithChampionNephew and nieceWhite (mutation)SisterLuckVictory
DOInot available

Abstract

fetched live from OpenAlex

Abstract: In the opinion of countless authors, thinkers, statesmen, and connoisseurs, the martini is America’s favorite apéritif. Famous martini quotes; celebrity martini drinkers; movies, books, and songs; the martini and alcohol in chemical education; the 1999 Canadian bioanalytical study of the antioxidant activities of martinis in the British Medical Journal; the standardization of the martini; brief histories of gin, vermouth, and the martini; martini-drinking presidents; the dryness of the martini; and the place of the drink in American society are presented. In the opinion of countless authors, thinkers, statesmen, and connoisseurs, the martini is America’s favorite apéritif. John Doxat proclaimed it “the most celebrated drink in the civilized world ” [1a] and “the king of cocktails ” [1b]. Writer Bernard De Voto (1897–1955), who called it “the supreme American gift to world culture ” [2a], described the purported sensitivity of the drink when he wrote, You can no more keep a martini in the refrigerator than you can keep a kiss there. The proper union of gin and vermouth is a great and sudden glory; it is one of the happiest marriages on earth and one of the shortest-lived. The fragile tie of ecstasy is broken in a few minutes, and thereafter there can be no remarriage [3]. This sensitivity is echoed by W. Somerset Maugham’s (1874–1965) words, quoted by his nephew Robin: Martinis should never be shaken. They should always be stirred so that the molecules lie sensuously on top of each other [4]. Even that pungent, controversial sage of Baltimore, crusty old curmudgeon H(enry) L(ouis) Mencken (1880–1956), who rarely said anything good about anything, praised it as “The only American invention as perfect as a sonnet ” [2a]. And at the height of the Cold War, when served a particularly potent sample, Nikita Sergeevich Khrushchev (1894–1971) admitted that it was “The U.S.A.’s most lethal weapon ” [2a]. Also, a Cold War acronym for the martini was ICBM—for Ice Cold Beefeater Martini—an implicit comparison to Inter-Continental Ballistic Missile—in reference to the lethal quality of the drink [5]. Another tribute to its potency and sexiness is found in a poem allegedly attributed to Dorothy Parker (1893–

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)0.003
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: Other
Teacher disagreement score0.170
Threshold uncertainty score0.570

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1700.065

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 head0.036
GPT teacher head0.213
Teacher spread0.177 · 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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