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Expanding Mindscapes

2023· book· en· W4382602685 on OpenAlexaboutno aff

Bibliographic record

VenueThe MIT Press eBooks · 2023
Typebook
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyGlobeColonialismHistoryCommunismChinaScholarshipPolitical scienceLawPsychologyArchaeologyPolitics

Abstract

fetched live from OpenAlex

The first collection of its kind to explore the diverse and global history of psychedelics as they appealed to several generations of researchers and thinkers. Expanding Mindscapes offers a fascinatingly fluid and diverse history of psychedelics that stretches around the globe. While much of the literature to date has focused on the history of these drugs in the United States and Canada, editors Erika Dyck and Chris Elcock deliberately move away from these places in this collection to reveal a longer and more global history of psychedelics, which chronicles their discovery, use, and cultural impact in the twentieth century. The authors in this collection explore everything from LSD psychotherapy in communist Czechoslovakia to the first applications of LSD-25 in South America to the intersection of modernism and ayahuasca in China. Along the way, they also consider how psychedelic experiments generated their own cultural expressions, where the specter of the United States may have loomed large and where colonial empires exerted influence on the local reception of psychedelics in botanical and pharmaceutical pursuits. Breaking new ground by adopting perspectives that are currently lacking in the historiography of psychedelics, this collection adds to the burgeoning field by offering important discussions on underexplored topics such as gender, agriculture, parapsychology, anarchism, and technological innovations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.351
Teacher spread0.253 · 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.

Study designNot applicable
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

Citations4
Published2023
Admission routes1
Has abstractyes

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