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Record W1500163843 · doi:10.3138/cbmh.24.1.93

From King Kong Pills to Mother’s Little Helpers—Career Cycles of Two Families of Psychotropic Drugs: The Barbiturates and Benzodiazepines

2007· article· en· W1500163843 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.

venuePublished in a venue whose home country is Canada.
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

VenueCanadian Journal of Health History · 2007
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
Fundersnot available
KeywordsDisappointmentPillPsychotropic drugDrugPsychotropic AgentPsychiatryMedicineCriticismPsychologyPharmacologyPsychotherapistPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article compares the careers of two families of 20th-century psychotropic drugs, the barbiturates and the benzodiazepines, in five different countries. Both families of drugs were used as so-called hypnotics and sedatives, and later as minor tranquillizers. In addition these drugs were extensively used as self-medication. The careers show a cyclical temporal course and generally encompass three phases: first, an expanding use of the drugs, accompanied by high expectations; then, rising criticism and disappointment; and finally contracting use and limited application. These phases need not have been sequential: they often overlapped. The cycle sometimes ended by the disappearance of the drug from mental health care, only to be replaced by new drugs with a profile of promise and hope. These cycles, which we term Seige cycles, are generally typical for the careers of psychotropic drugs. The analytical concept of the Seige cycle facilitates a comparative perspective on the commonalities as well as the differences between the various drug careers under consideration.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.046
GPT teacher head0.337
Teacher spread0.290 · 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