Relate North 10 - Possible futures : exhibition catalogue
Bibliographic record
Abstract
Relate North Possible Futures is a collaboration between the University of the Arctic’s Arctic Sustainable Arts and Design Thematic Network (ASAD), the Yukon School of Visual Arts (Yukon University), and the University of Lapland. The ASAD Network aims to identify and share innovative practices in learning, teaching, research and knowledge exchange in art, design and visual culture education. The network promotes cooperation and collaboration between academic institutions and communities to work towards a shared understanding of critical issues relevant to people living in the North. The tenth annual Relate North Virtual Exhibition includes projects from across the circumpolar Arctic that engage with this year’s network theme: Possible Futures. Arctic communities are at the forefront of imagining alternative futures in a rapidly changing present. Across the ASAD Network, there are many examples of initiatives actively working towards creating alternatives, from land-based educational projects to the inclusion of Indigenous language and cultural revitalization programming to collaborations between community-led arts-based researchers and scientists. The virtual exhibition launched concurrently with the Relate North Virtual Symposium (28-29 January, 2023) broadcast from the Ayamdigut campus of Yukon University, in Whitehorse, Yukon, on the traditional territories of the Ta’an Kwäch’än Council and the Kwanlin Dün First Nation. Every year the Relate North Symposium & Exhibition attracts leading scholars and artists from around the circumpolar North to present research and debate issues of concern to arctic and subarctic regions through the lens of art and design. The tenth annual Relate North symposium was a platform to support relations between network partners to mobilize and share examples of what we know “works” at each of our specific sites. Participants discussed strategies for how to ethically and intentionally evolve our institutions, projects, and practices to align with, support, and enact the many possible futures that have already been envisioned in the Arctic. Relate North Possible Futures was supported by the University of the Arctic’s Global Arctic Leadership Initiative Fund for Indigenous and Northern Relationship Development. While many people came together to organize these virtual events, we want to thank Mari Parpala for creating the Relate North Virtual Exhibition platform and Hayden Grace, the Relate North Programming Assistant.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.552 | 0.283 |
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".