Closing Plenary
Bibliographic record
Abstract
Please join us for a powerful closing plenary session featuring Closing Keynote Speaker Dr Tiara Moore and a Panel Discussion centered on “what it means to honor our ancestors” and “what we envision for future generations and the Salish Sea” Dr. Moore earned her PhD in Biology from UCLA, where she conducted research in Mo’orea, French Polynesia, Carpinteria Salt Marsh, and Upper Newport Bay. In Mo’orea, she observed the effects sedimentation and nutrient pollution have on the proliferation of coral reef macroalgae. In Carpinteria and Newport, she explored the effects of macroalgal decomposition on sediment biogeochemistry and the microbial community using environmental DNA (eDNA) to assess the biodiversity of entire ecosystems with only a soil sample. Dr. Moore completed a postdoctoral fellowship at the University of Washington and The Nature Conservancy. Currently, Dr. Moore is the Black In Marine Science Program Lead at The Nature Conservancy. Inside and outside of the lab, Dr. Moore hopes her research in biodiversity will translate to increasing the overall diversity in science. She dedicates her time to mentoring minority women in the lab and in after school programs. Founder of A WOC SPACE, Dr. Moore aspires to make a safe and inclusive workplace for women of color (WOC) through WOCShops, individual personal trainings, and community outreach. Featured Panelist Chief Leah George Wilson Co-Chair of First Nations Summit Chief Leah George-Wilson is a member of the Tsleil-Waututh First Nation (TWFN) located in North Vancouver. She was elected to a third term as Chief of TWN in May 2019. In 2001 she was the first woman to hold the office of Elected Chief for the TWFN, a position she held from 2001-2003 and 2005 – 2009. Ms. George-Wilson previously worked for the TWFN for many years in various positions including member of the TWFN’s negotiating team in the BC Treaty Process, TWFN Self-Government Coordinator. and Director of the TWFN Treaty, Land and Resources Department. Ms. George-Wilson’s educational background includes a Bachelor’s Degree in Anthropology from Simon Fraser University. She is currently attending the University of British Columbia Law School. She also sits on a number of boards including: the First Nations Lands Advisory Board, the Canadian Tourism Commission and the BC First Nations Health Council. Other panelists include Simon Fraser University students Tasha Romeyn and Simran Sarai and Salish Sea Institute Director Ginny Broadhurst.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.607 | 0.518 |
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; the direct Gemma label and the distilled Codex classifier 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".