Contributions of Indigenous Knowledge to ecological and evolutionary understanding
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 Knowledge (IK) is the collective term to represent the many place‐based knowledges accumulated across generations within myriad specific cultural contexts. Despite its millennia‐long and continued application by Indigenous peoples to environmental management, non‐Indigenous “Western” scientific research and management have only recently considered IK. We use detailed and diverse examples to highlight how IK is increasingly incorporated in research programs, enhancing understanding of – and contributing novel insight into – ecology and evolution, as well as physiology and applied ecology (that is, management). The varied contributions of IK stem from long periods of observation, interaction, and experimentation with species, ecosystems, and ecosystem processes. Despite commonalities between IK and science, we outline the ethical duty required by scientists when working with IK holders. Given past and present injustice, respecting self‐determination of Indigenous peoples is a necessary condition to support mutually beneficial research processes and outcomes.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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