Archipelagic Pursuits: A Coming Together of Art Making and Sea Kayaking
Bibliographic record
Abstract
This paper considers the archipelago as a model of exchange and commerce to explore the meeting place between art and what Denis Cosgrove has described as the “geographical imagination.” It does so by considering two artistic projects in which the domains of art making overlap the author’s interest in sea kayaking—the two together constituting a vernacular, personally inscribed practice. These projects, at the Art Gallery of Greater Victoria (2006) and as part of Tasmania’s biennial Ten Days on the Island (2011), are contextualized by the work of theorists coming from geography and visual arts. The paper extends Katherine Harmon’s observation about the way that maps, “like artworks”, may highlight “differences between collective and individual experience.” Like the form of handdrawn maps, another seemingly obsolete technology, the camera obscura, is presented as a means of invoking a heightened, experiential engagement with the (island) landscape.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.035 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".