Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.053 | 0.014 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".