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Record W4401271055 · doi:10.5040/9798400609046

Alcohol and Drugs in North America

2013· book· en· W4401271055 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

VenueABC-CLIO eBooks · 2013
Typebook
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyHistory

Abstract

fetched live from OpenAlex

<JATS1:p>Alcohol and drugs play a significant role in society, regardless of socioeconomic class. This encyclopedia looks at the history of all drugs in North America, including alcohol, tobacco, prescription drugs, cannabis, cocaine, heroin, methamphetamine, and even chocolate and caffeinated drinks.</JATS1:p> <JATS1:p>This two-volume encyclopedia provides accessibly written coverage on a wide range of topics, covering substances ranging from whiskey to peyote as well as related topics such as Mexican drug trafficking and societal effects caused by specific drugs. The entries also supply an excellent overview of the history of temperance movements in Canada and the United States; trends in alcohol consumption, its production, and its role in the economy; as well as alcohol's and drugs' roles in shaping national discourse, the creation of organizations for treatment and study, and legal responses.</JATS1:p> <JATS1:p>This resource includes primary documents and a bibliography offering important books, articles, and Internet sources related to the topic.</JATS1:p>

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.019
GPT teacher head0.256
Teacher spread0.237 · 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