The Importance of Connected Ocean Monitoring Knowledge Systems and Communities
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
Ocean monitoring will improve outcomes if ways of knowing and priorities from a range \nof interest groups are successfully integrated. Coastal Indigenous communities hold \nunique knowledge of the ocean gathered through many generations of inter-dependent \nliving with marine ecosystems. Experiences and observations from living within that \nsystem have generated ongoing local and traditional ecological knowledge (LEK and \nTEK) and Indigenous knowledge (IK) upon which localized sustainable management \nstrategies have been based. Consequently, a comprehensive approach to ocean \nmonitoring should connect academic practices (“science”) and local community and \nIndigenous practices, encompassing “TEK, LEK, and IK.” This paper recommends \nresearch approaches and methods for connecting scientists, local communities, and \nIK holders and their respective knowledge systems, and priorities, to help improve \nmarine ecosystem management. Case studies from Canada and New Zealand (NZ) \nhighlight the emerging recognition of IK systems in natural resource management, policy \nand economic development. The in-depth case studies from Ocean Networks Canada \n(ONC) and the new Moana Project, NZ highlight real-world experiences connecting \nIK with scientific monitoring programs. Trial-tested recommendations for successful \ncollaboration include practices for two-way knowledge sharing between scientists and \ncommunities, co-development of funding proposals, project plans and educational \nresources, mutually agreed installation of monitoring equipment, and ongoing sharing \nof data and research results. We recommend that future ocean monitoring research \nbe conducted using cross-cultural and/or transdisciplinary approaches. Vast oceans \nand relatively limited monitoring data coupled with the urgency of a changing climate \nemphasize the need for all eyes possible providing new data and insights. Community \nmembers and ocean monitoring scientists in joint research teams are essential for \nincreasing ocean information using diverse methods compared with previous scientific \nresearch. Research partnerships can also ensure impactful outcomes through improved \nunderstanding of community needs and priorities.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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