Adaptation through knowledge coexistence: insights for environmental and sea lamprey stewardship
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
Strategies for tackling environmental issues, including the consequences of invasive species and corresponding control efforts, are frequently approached through a Western scientific lens that often overlooks Indigenous rights and Indigenous knowledge systems. This can cause numerous issues from costly delays in implementing control programmes, overlooking vital ecosystem information and alternative options, legal action due to infringement on rights, and perpetuating systems of oppression. This research uses social science and Indigenous methodologies to understand the Denny’s Dam rehabilitation (DDR) as a case study for relationship-building and knowledge coexistence between the Saugeen Ojibway Nation and the Great Lakes Fisheries Commission in controlling sea lamprey (Petromyzon marinus), an invasive species in the Laurentian Great Lakes. To evaluate the successes and shortcomings of the project, virtual semi-structured interviews (n = 14) were conducted with key decision-makers and others involved in the rehabilitation of Denny’s Dam, a sea lamprey barrier. Analysis of these interviews identify four main factors that were crucial in the success of the DDR partnership: meaningful communication, funding and capacity, going beyond duty to consult requirements, and early engagement. The DDR shows how knowledge coexistence approaches, including Two-Eyed Seeing, can lead to equitable decision-making, foster collaboration, and contribute to addressing challenges like climate change, invasive species, and various environmental degradation.
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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