The Resilience of Indigenous Peoples to Environmental Change
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
Indigenous peoples globally have high exposure to environmental change and are often considered an ''atrisk'' population, although there is growing evidence of their resilience. In this Perspective, we examine the common factors affecting this resilience by illustrating how the interconnected roles of place, agency, institutions, collective action, Indigenous knowledge, and learning help Indigenous peoples to cope and adapt to environmental change. Relationships with place are particularly important in that they provide a foundation for belief systems, identity, knowledge, and livelihood practices that underlie mechanisms through which environmental change is experienced, understood, resisted, and responded to. Many Indigenous peoples also face significant vulnerabilities, whereby place dislocation due to land dispossession, resettlement, and landscape fragmentation has challenged the persistence of Indigenous knowledge systems and undermined Indigenous institutions, compounded by the speed of environmental change. These vulnerabilities are closely linked to colonization, globalization, and development patterns, underlying the importance of tackling these pervasive structural challenges.
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 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 | 0.002 | 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 | 0.001 |
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