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Record W4396599258 · doi:10.1080/15265161.2024.2342764

The Hopkins-Oxford Psychedelics Ethics (HOPE) Working Group Consensus Statement

2024· editorial· en· W4396599258 on OpenAlexaff
Edward Jacobs, Brian D. Earp, Paul S. Appelbaum, Lori Bruce, Ksenia Cassidy, Yuria Celidwen, Katherine Cheung, Sean Clancy, Neşe Devenot, Jules Evans, Holly Fernandez Lynch, Phoebe Friesen, Albert Garcia Romeu, Neil Gehani, Molly Maloof, Olivia Marcus, Ole Martin Moen, Mayli Mertens, Sandeep M. Nayak, Tehseen Noorani, Kyle Patch, Sebastian Porsdam-Mann, Gokul Raj, Khaleel Rajwani, Keisha Ray, William Smith, Daniel Villiger, Neil Levy, Roger Crisp, Julian Savulescu, Ilina Singh, David B. Yaden

Bibliographic record

VenueThe American Journal of Bioethics · 2024
Typeeditorial
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsMcGill University
FundersNational Institute on Drug AbuseWellcome TrustSteven and Alexandra Cohen FoundationJohns Hopkins University
KeywordsStatement (logic)PsychologyGroup (periodic table)Political scienceLawChemistry

Abstract

fetched live from OpenAlex

The first Hopkins-Oxford Psychedelic Ethics (HOPE) workshop convened to discuss ethical matters relating to psychedelics in August 2023 at the University of Oxford.The organizers (BDE, DBY, EJ) aim...

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)0.044
metaresearch head score (Gemma)0.106
Version: metacan-v3-hybrid-931329e0061cValidation 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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.044
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.106
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0050.002
Science and technology studies0.0040.003
Scholarly communication0.0100.005
Open science0.0050.003
Research integrity0.0220.024
Insufficient payload (model declined to judge)0.0190.012

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 head0.098
GPT teacher head0.432
Teacher spread0.335 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations29
Published2024
Admission routes1
Has abstractyes

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