MétaCan
Menu
Back to cohort
Record W1493705230

Singing to the Plants: A Guide to Mestizo Shamanism in the Upper Amazon

2009· book· en· W1493705230 on OpenAlexaboutno aff
Stephan V. Beyer

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsnot available
Fundersnot available
KeywordsShamanismAyahuascaCeremonyAmazon rainforestIndigenousMAGIC (telescope)JungleEthnologyHistoryArtAnthropologyGeographySociologyArchaeologyEcology
DOInot available

Abstract

fetched live from OpenAlex

In the Upper Amazon, mestizos are the Spanish-speaking descendants of Hispanic colonizers and the indigenous peoples of the jungle. Some mestizos have migrated to Amazon towns and cities, such as Iquitos and Pucallpa; most remain in small villages. They have retained features of a folk Catholicism and traditional Hispanic medicine, and have incorporated much of the religious tradition of the Amazon, especially its healing, sorcery, shamanism, and the use of potent plant hallucinogens, including ayahuasca. The result is a uniquely eclectic shamanist culture that continues to fascinate outsiders with its brilliant visionary art. Ayahuasca shamanism is now part of global culture. Once the terrain of anthropologists, it is now the subject of novels and spiritual memoirs, while ayahuasca shamans perform their healing rituals in Ontario and Wisconsin.Singing to the Plants sets forth just what this shamanism is about--what happens at an ayahuasca healing ceremony, how the apprentice shaman forms a spiritual relationship with the healing plant spirits, how sorcerers inflict the harm that the shaman heals, and the ways that plants are used in healing, love magic, and sorcery.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.013
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.003

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 head0.031
GPT teacher head0.350
Teacher spread0.319 · 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 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

Citations117
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicPsychedelics and Drug StudiesFrench-language works237,207