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Record W2891458222

“STAIRWAY TO HEAVEN”: LYSERGIC ACID DIETHYLAMIDE (LSD) AND ALCOHOLICS ANONYMOUS (AA) AS A THERAPY FOR PROBLEM DRINKING IN MIDTWENTIETH CENTURY SASKATCHEWAN, 1953-1968

2018· dissertation· en· W2891458222 on OpenAlexaboutno aff
Michael James Christopher Lyons

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLysergic acid diethylamideHeavenAlcoholics AnonymousPsychologyPsychotherapistPsychiatryMedicineArtInternal medicineLiterature
DOInot available

Abstract

fetched live from OpenAlex

The issue of problem drinking has and continues to occupy the hearts and minds of Canadians. However, the pursuit of the cause and development of an effective cure has eluded both medical and religious communities alike. This thesis explores one therapeutic model for problem drinking which was developed in Saskatchewan in the mid-twentieth century. This therapy, which drew on the psychedelic properties of Lysergic Acid Diethylamide (LSD) and the program structure of Alcoholics Anonymous (AA), not only showed a high rate of success but also served as a mechanism for spiritual growth and development for some patients. Through a close reading of a series of primary sources, this thesis presents the perspectives of both the psychiatric professionals and Christian clergy who were involved in these trials as well as the perspective of a patient who underwent the therapy to examine how the use of LSD and Alcoholics Anonymous to treat problem drinking blurred the lines between science and religion. Moreover, this thesis problematizes the role of spirituality in biomedical forms of addictions within the diverse field of addictions research during the mid-twentieth century.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score0.567

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.019
GPT teacher head0.325
Teacher spread0.306 · 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 designQualitative
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
Published2018
Admission routes1
Has abstractyes

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Same topicKorean Peninsula Historical and Political StudiesFrench-language works237,207