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Record W4380992827 · doi:10.3389/fpsyg.2023.1156852

A case-study evaluation of the “Copenhagen Music Program” for psilocybin-assisted therapy

2023· article· en· W4380992827 on OpenAlexafffund
Gina Ratkovic, Mike Sosteric, Tristan Sosteric

Bibliographic record

VenueFrontiers in Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsAthabasca University
FundersAthabasca University
KeywordsPsilocybinIndigenousExperiential learningPsychologyMusic therapyVariety (cybernetics)MusicalTest (biology)PsychotherapistVisual artsHallucinogenComputer scienceArtPedagogyPsychiatryArtificial intelligence

Abstract

fetched live from OpenAlex

In a recent article, Messell and colleagues provide a curated list, the "Copenhagen Music Program for Psilocybin". We test their music program with an experienced Indigenous therapist/psychonaut on a 3.5 gram psilocybin journey. Based on comments provided by the Indigenous therapist, we find the program contains musical choices that evoke specific colonial and religious contexts. We also find the program psychologically and emotionally coercive, meaning it is intended to contain the experience by forcing the individual on a specific experiential pathway. We conclude the program is not suitable for Indigenous travelers and suggest that curation of a wider variety of playlists, and music more in line with traditional shamanic practices, might be a better approach to psychedelic curation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.201
GPT teacher head0.461
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2023
Admission routes2
Has abstractyes

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