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Record W4404870730 · doi:10.1080/10871209.2024.2435298

Illegal harvest, use, and trade in Temminck’s pangolins by communities adjacent to Ruaha National Park, Tanzania

2024· article· en· W4404870730 on OpenAlexaff
Charles Peter Mgeni, Rose Peter Kicheleri, Ernest William Mauya, Fenrick Filbert Msigwa, Simon Chidodo, Courtney Hughes, George B. Bulenga, Nyemo A. Chilagane, Camille H. Warbington, Joseph Rajabu Kangile, Elisante Azaeli Kimambo, Hillary Thomas Mrosso, Michael Honorati Kimaro

Bibliographic record

VenueHuman Dimensions of Wildlife · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsAlberta Environment and Protected Areas
FundersSokoine University of Agriculture
KeywordsTanzaniaNational parkGeographySocioeconomicsAgroforestryEnvironmental scienceSociologyEnvironmental planningArchaeology

Abstract

fetched live from OpenAlex

Pangolins are one of the most trafficked animals in the world, including the Temminck’s pangolin (Smutsia temminckii). Tanzania faces international pangolin trade threats, yet data on Temminck’s pangolins remains scarce despite conservation calls. We interviewed 22 villages near Ruaha National Park to understand pangolin harvest, use, and trade. Pangolin hunting is mostly opportunistic during daily activities, except for village elders who actively hunt pangolins. Pangolin scales dominate trade, primarily purchased by pastoralists and traditional healers. Scales are mainly used in cultural practices and for traditional medicinal purposes. Finally, we learned that there is decreased pangolin use in markets resulting from improved law enforcement and their growing scarcity. Our results suggest that illegal pangolin harvest, use, and trade threaten their survival; locally relevant conservation efforts, including education and enforcement, are crucial to drive effective conservation action.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.255
Teacher spread0.226 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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