Contribution of Indigenous Peoples' understandings and relational frameworks to invasive alien species management
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.
Bibliographic record
Abstract
Abstract Introduced species that spread and become invasive are recognised as a major threat to global biological diversity, ecosystem resilience and economic stability. Eradication is often a default conservation management strategy even when it may not be feasible for a variety of reasons. Assessment of the substantive socioeconomic and ecological impacts of invasive alien species (IAS), both negative and positive, is increasingly viewed as an important step in management. We argue that one solution to IAS management is to align models of alien species management with Indigenous management frameworks that are relational and biocultural. We make the theoretical case that centring Indigenous management frameworks promises to strengthen overall management responses and outcomes because they attend directly to human and environmental justice concerns. We unpack the origins of the ‘introduced species paradigm’ to understand how binary framing of so‐called ‘aliens’ and ‘natives’ recalls harmful histories and alienates Indigenous stewardship. Such a paradigm thereby may limit application of Indigenous frameworks and management, and impede long‐term biodiversity protection solutions. We highlight how biocultural practices applied by Indigenous Peoples to IAS centre protecting relationships, fulfilling responsibilities and realising justice. Finally, we argue for a pluralistic vision that acknowledges multiple alternative Indigenous relationships and responses to introduced and IAS which can contribute to vibrant futures where all elements of society, including kin in the natural world, are able to flourish. Read the free Plain Language Summary for this article on the Journal blog.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it