Bibliographic record
Abstract
The Nunavut Climate Change Partnership was initiated in 2006 between the Government of Nunavut, the Canadian Institute of Planners, Natural Resources Canada and Indian and Northern Affairs Canada. This partnership was focused on helping Nunavut communities adapt to climate change and increasing adaptive capacity and climate change knowledge in the territory. Specifically, the goals of the Nunavut Climate Change Partnership were to: 1) create scientific information that is regionally and locally targeted to help communities adapt to climate change, 2) build capacity for climate change adaptation planning within the Government of Nunavut and in Nunavut communities, and 3) develop tools to collect, publish, share and communicate climate change adaptation knowledge across Nunavut and beyond. Work through this partnership was conducted in the communities of Clyde River, Hall Beach, Iqaluit, Arviat, Whale Cove, Cambridge Bay and Kugluktuk. A workshop was held in Iqaluit February 15-16, 2011 to report back on all Nunavut Climate Change Partnership activities and outputs, explore new opportunities and discuss lessons learned. Speakers and participants from across Canada including Nunavut communities, governments, scientific, policy and planning organizations and universities participated in the workshop. On February 15th results from scientists and government officials were presented on climate change geoscience research, community climate change adaptation planning work and opportunities for new work. On February 16th, participants were asked to focus their attention on two key themes: 1) what research, information and climate change adaptation resources will be needed in the future (a needs assessment) and 2) what lessons can be learned from the current partnership that would enable research and planning to be undertaken more effectively (lessons learned). In total nearly 100 people participated in this workshop. This report provides a summary from the workshop.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.023 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.037 | 0.007 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".