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Record W4288758418 · doi:10.1111/anoc.12161

Indigenous Philosophies and the "Psychedelic Renaissance"

2022· article· en· W4288758418 on OpenAlexaff
Keith Williams, Osiris Sinuhé González Romero, Michelle Braunstein, Suzanne Brant

Bibliographic record

VenueAnthropology of Consciousness · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIndigenousThe RenaissanceLegalizationColonialismCriminologyHistorySociologyEnvironmental ethicsEthnologyAestheticsPolitical scienceLawArtArt historyPhilosophy

Abstract

fetched live from OpenAlex

Abstract The Western world is experiencing a resurgence of interest in the therapeutic potential of psychedelics, most of which are derived from plants or fungi with a history of Indigenous ceremonial use. Recent research has revealed that psychedelic compounds have the potential to address treatment‐resistant depression and anxiety, as well as post‐traumatic stress disorder and addictions. These findings have contributed to the decriminalization of psychedelics in some jurisdictions and their legalization in others. Despite psychedelics’ opaque legal status, numerous companies and individuals are profiting from speculative investments with few, if any, benefits accruing to Indigenous Peoples. In this paper, we suggest that the aptly named “psychedelic renaissance,” like the European Renaissance, is made possible by colonial extractivism. We further suggest that Indigenous philosophical traditions offer alternative approaches to reorient the “psychedelic renaissance” towards a more equitable future for Indigenous Peoples, psychedelic medicines, and all our relations.

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)0.003
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.046
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.328
Teacher spread0.302 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations68
Published2022
Admission routes1
Has abstractyes

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