Woodhaven Customs and Border Patrol : a performance between two solitudes
Bibliographic record
Abstract
This dissertation is a reflection and analysis of my thesis performance: a site-specific, durational installation of a border patrol service at Woodhaven Nature Conservancy in Kelowna, British Columbia: Woodhaven Customs and Border Patrol. The paper addresses the potentiality of performance to investigate, and critique, the separation of wilderness spaces from civilization spaces in contemporary culture; our relationship to “nature” and “culture” as two distinct entities; our relationship with borders, both international and metaphorical; and the history and emergence of national, provincial and regional parks as parallel to the history and emergence of Canada as a nation state. The performance of Border Patrol as a memory project is also examined, with attention paid to notions of “biogeography” as a nationalist project that overrides personal memory with institutional memory, and the parallels and similarities between the logic, structure and organisation of nature parks and museums. Throughout, there is an emphasis on performance, collaboration, and participation, with a retelling of key moments, stories, and memories from the performance itself in support of the analysis. In conclusion, the paper asserts that troubling binaries through performance can reveal the extent to which they are constituted by each other, and that notions of interdependency, collusion and collision are vital to a healthy appraisal of the ways in which we are currently using, inhabiting and marking out social space.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.038 | 0.021 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".