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Record W4293077086 · doi:10.1093/jhmas/jrac017

David T. Courtwright, <i>The Age of Addiction: How Bad Habits Became Big Business</i>

2022· article· en· W4293077086 on OpenAlexaff
Rod Phillips

Bibliographic record

VenueJournal of the History of Medicine and Allied Sciences · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsCarleton University
Fundersnot available
KeywordsAddictionPleasureConsumption (sociology)ExpansivePsychologyHistorySociologyAdvertisingAestheticsArtBusinessPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

This is a remarkable book that will be the standard history of addictions for the foreseeable future—or until enough currently unforeseen addictions emerge to demand a broadening of its already expansive scope. David Courtwright’s books and articles have guided us through this often-grim branch of history for a number of years, and here he brings many of the strands together in a work that is a real tour de force, one where his impressive breadth of perspective meshes seamlessly with close analysis. Courtwright’s terrain in this work is behaviors associated across the broad spectrum of commodities and activities that can be called addictions—which he defines in several ways, including “a pattern of compulsive, conditioned, relapse-prone, and harmful behavior” (p. 3). Clearly, no single definition will do when we consider such varied objects of potential addiction—and their equally varied consequences—as pornography, gambling, cocaine, social media, and tobacco. The focus of this book is the United States in the nineteenth and twentieth centuries, although there is a brief introduction to the distant attraction of humans to commodities and activities that gave them pleasure and might well have, and probably did, lead to addictive behavior. The discovery of honey (the sweetest commodity known to humans until sugar came on the scene) in beehives and the mastery of the process of fermentation to produce beer, wine, cider, and mead exposed humans to potentially addictive habits of consumption. These commodities entered the diets of some humans early on and undoubtedly led some individuals to crave them and consume them compulsively, very likely with harmful results to themselves and their communities.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.008
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.062
GPT teacher head0.227
Teacher spread0.165 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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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