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Record W2149793893 · doi:10.1177/107049650201100104

Drowning in the Magic Well: Shaman Pharmaceuticals and the Elusive Value of Traditional Knowledge

2002· article· en· W2149793893 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Environment & Development · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEthnobotanical and Medicinal Plants Studies
Canadian institutionsEnvironment and Climate Change CanadaSimon Fraser University
FundersU.S. Food and Drug Administration
KeywordsBioprospectingEthnobotanyShamanismBusinessTraditional knowledgeIndigenousRisk analysis (engineering)Traditional medicineMedicineGeographyMedicinal plantsBiologyEcology

Abstract

fetched live from OpenAlex

Biodiversity prospecting, and ethnobotanical search methods that draw on the medicinal knowledge of traditional societies, are mechanisms of drug discovery with the potential to reward the conservers of biological resources. Shaman Pharmaceuticals aspired to be a model of ethnobotanical bioprospecting, discovering new medicines while sharing benefits with indigenous people. Shaman's failure to market any new pharmaceutical products and its ultimate bankruptcy were heralded as marking the failure, and future abandonment, of ethnobotanical bioprospecting. This analysis of Shaman's history suggests that risks inherent in drug development, company risk associated with Shaman's drug development strategy, and technological change in the industry all contributed to its failure. The authors examine the opportunities and constraints encountered in bioprospecting and ethnobotanical searches and argue that natural products will remain important to drug development. Technological change, however, means that new models and new institutional structures are required for drug development based on natural products.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.062
GPT teacher head0.237
Teacher spread0.175 · 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