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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 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

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.

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)0.000
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 score0.289
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.029
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