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Record W2989880325 · doi:10.15451/ec2019-11-8.14-1-8

Common Sun Skink Eutropis multifasciata (Kuhl 1820) sold for Traditional Medicine in Indonesia and potential conservation implications.

2019· article· en· W2989880325 on OpenAlexaff
Jordi Janssen, Lalita Gomez

Bibliographic record

VenueEthnobiology and Conservation · 2019
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsWildlife Conservation Society Canada
Fundersnot available
KeywordsSkinkGeographyZoologyBiologyLizard

Abstract

fetched live from OpenAlex

Reptiles are one of the most frequently encountered animal species in the trade for traditional medicine. The use of reptiles for medicinal purposes has been documented throughout the world, impacting dozens of species. Despite the broad occurrence of reptiles in medicinal trade, there is a general lack of information concerning the scale or impact of this trade and the species involved. Here we report the sale of Common Sun Skinks Eutropis multifasciata on the island of Java in Indonesia. We surveyed 13 wildlife markets and three reptile pet stores in eight cities across Java, documenting 110 Common Sun Skinks in trade in six markets in five cities. This skink is sold for traditional medicinal purposes with several vendors stating its use to treat skin problems like “itchiness”. This particular use has not been well documented in Indonesia. Further, the Common Sun Skinks were primarily sold by vendors selling Tokay Geckos for a similar purpose. This is of potential conservation concern as Tokay Geckos are harvested en masse for medicinal purposes which has resulted in significant population declines, and this could lead to potential over¬exploitation of the Common Sun Skink in response to this decline.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.070
GPT teacher head0.318
Teacher spread0.249 · 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 designObservational
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

Citations6
Published2019
Admission routes1
Has abstractyes

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