Situating Place‐Based, Community‐Engaged Watershed Research at Xwulqw'selu Sta'lo'
Bibliographic record
Abstract
Abstract Xwulqw'selu Sta'lo' is a culturally significant and salmon‐bearing river facing significant challenges, which Cowichan Tribes and the British Columbia provincial government are addressing with a first‐of‐its‐kind watershed plan. Our research is deeply situated at Xwulqw'selu Sta'lo' and is grounded in interdisciplinary academic spheres of place‐based research, water monitoring and modeling, cogovernance and systems theory. Our project is an example of developing a deliberate, robust, and responsive community science project designed to engage community, impact decision‐making, and respectfully work together in place, on the land. We describe developing and initiating our project and share a visual representation of how we structure our project as “woven statements.” The five statements give our research project team a shared understanding and motivation and help us plan and make decisions. The statements can be visualized as vertical warps interwoven with research projects, goals, and partnerships as horizontal wefts. The warps and wefts mutually support each other since weaving gains strength where warp and weft meet, connect, and overlap. Key lessons include the importance of taking responsibility for positionality, knowledge, and relationships; the value of intention setting that reflects the context and the priorities of partners and community; and that projects can flourish if structured around the good present in community.
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How this classification was reachedexpand
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 | 0.097 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.095 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.006 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".