The influence of context on ayahuasca experiences: An analysis of experience reports
Bibliographic record
Abstract
Background and aims Ayahuasca is a psychedelic decoction prepared from two (or more) plants containing monoamine oxidase inhibitors,N,N-dimethyltryptamine, and other chemicals. Ayahuasca has apparently been used for centuries in the Amazon basin of South America, and in recent years has increasingly been used internationally in diverse contexts. This study aims to elucidate differences betweencross-cultural ceremonialandpsychonauticcontexts of ayahuasca use. Methods This study systematically examines subjective differences across contexts for contemporary ayahuasca-drinking practices. User reports of ayahuasca experiences were subjected to textual analysis to compare use incross-culturalceremonialcontexts that attempt to include elements of traditional Amazonian practices, withpsychonauticuse that does not formally integrate traditional ceremonial aspects. The experience reports were collected from an online database. Results The use of ayahuasca in a cross-cultural ceremonial context is associated with prominence of affective and motivational features, whereas psychonautic use was associated with an emphasis on cognitive processes. Conclusions The beneficial effects of ayahuasca may operate via affective processing and integration and as such,cross-cultural ceremonialuse may have advantages relative topsychonauticuse. Findings are considered in light of the importance of context on experiences with ayahuasca and other psychedelic substances.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".