Culling the spirits: an exploration of Santo Daime’s adaptation in Canada
Bibliographic record
Abstract
This chapter addresses the business of ayahuasca. In approaching ayahuasca as a burgeoning industry linked to the ayahuasca diaspora – the spreading of its use beyond Amazonia – I will discuss its emergence through entrepreneurism arising amid local contexts and participants. My analysis of how the ayahuasca industry has developed in only a few decades from an obscure practice into a cosmopolitan capitalist endeavor is examined through a case study in the Tambopata Province in Peru. It also suggests that small-scale entrepreneurism has contributed toward shaping ayahuasca’s international popularity. This chapter further contemplates the actual and potential impact that ayahuasca businesses have on South American indigenous and local peoples whose expertise and practices have long been the hallmark of ayahuasca practices, and raises questions of South American postcolonialism and its legacy of imperialism. 2 As such, this analysis provides an anthropological approach toward understanding the emergence and development of entrepreneurship, and makes contributions to literatures on postcolonialism, globalization, Amazonia, and ayahuasca.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.029 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".