Indigenous land-based practices for climate crisis adaptions
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 communities across Canada persist at the forefront of environmental and climate-related challenges, necessitating a concerted effort to integrate traditional Indigenous land-based knowledge and practices that inherently promote environmental protection and resilience. Using a decolonial feminist theoretical framework, this research centers on Indigenous community perspectives on the climate crisis and their land-based adaptions. Such an approach empowers Indigenous communities to reclaim agency over their narratives and shape research agendas congruent with their lived realities and aspirations. The study concludes by promoting the imperative of revitalizing traditional Indigenous land-based knowledge, practices and relationships with their ancestral lands. Despite emerging recognition within the scientific literature and international agreements, such as the Paris Agreement, of the significance of traditional Indigenous land-based knowledge, many climate mitigation and adaptation initiatives continue to overlook Indigenous participation at various decision-making junctures. Hence, this paper advocates the necessity for international frameworks to acknowledge and integrate traditional knowledge systems and Indigenous participation across national borders, fostering inclusive climate crisis solutions that resonate with Indigenous communities' perspectives and experiences.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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