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Record W2091278036 · doi:10.1177/1533210110391077

Medicinal Plants Used in Mapuche Traditional Medicine in Araucanía, Chile: Linking Sociocultural and Religious Values with Local Heath Practices

2010· article· en· W2091278036 on OpenAlexaff
Maria Costanza Torri

Bibliographic record

VenueComplementary health practice review · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEthnobotanical and Medicinal Plants Studies
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsSociocultural evolutionContext (archaeology)Meaning (existential)Participant observationTraditional medicineSociologyValue (mathematics)PsychologySocial scienceAnthropologyGeographyMedicinePsychotherapistComputer science

Abstract

fetched live from OpenAlex

The vast majority of the medicinal plants in Chile have been studied from a pharmacological point of view. These studies, although giving important insights into the understanding of the Mapuche’s traditional medicine in terms of the therapeutical value of the plants, fail, however, to portray the numerous sociocultural and symbolic aspects of this form of medicine. This article aims to overcome this shortcoming by analyzing the sociocultural and religious values of medicinal plants among the Mapuche’s rural communities in Araucanía, Chile, as well as their role in traditional medicine. The methods utilized combined participant observation with individual interviews with local shamans (machi) and villagers. Data from free-list interviews and conversations with research participants were used to develop a series of semi-structured interview questions on knowledge of herbal medicines and plants. Data show that the therapeutic efficacy of Mapuche medicine is not only based on ‘‘active agents’’ but is also related to the symbolic and religious meaning attributed to the treatments by healers and patients. The article concludes that in order to fully understand the therapeutic efficacy of the plants, it is thus necessary to comprehend the sociocultural context in which they are used.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.125
GPT teacher head0.387
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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

Citations18
Published2010
Admission routes1
Has abstractyes

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