Bibliographic record
Abstract

 “British Columbia has a leper colony. Its existence is not widely known, for those who compose it are of a race whose affairs never reach the public ear.”The Dominion Medical Monthly: Ontario Medical Journal, No. 6, Vol. XI, Toronto, December, 1898.
 
 In the nineteenth century D’Arcy Island, a small island off the east coast of Vancouver Island was used by the city of Victoria to quarantine residents diagnosed with leprosy after the discovery of the disease in a few people in 1891. The exhibition D’Arcy Island is part of a larger project, Carceral Landscape, which is concerned with the use of landscape as a device for human incarceration. The idea of Carceral Landscape was germinated by photographer Ansel Adams’s belief that the sublime beauty of the natural environment surrounding the internment camp at Manzanar, California inspired and helped Japanese American internees transcend their detention during WWII. D’Arcy Island critically considers the use of an island as a site of detention or banishment.
 
 “While the floor of the Owens Valley is desolate, very hot in summer and very cold in winter, the surrounding mountains are spectacular, especially the Sierra Nevada on the west, culminating in Mount Whitney rising fourteen thousand five hundred feet above the valley floor. The Inyo Range to the east is more of desert character and of lower elevation but is very beautiful in its own way. I have been accused of sentimental conjecture when I suggest that the beauty of the natural scene stimulated the people in the camp. No other relocation centre could match Manzanar in this respect, and many of the people spoke to me of these qualities and their thankfulness for them.”Ansel Adams: an Autobiography. Little Brown, 1998. Pg 220
 
 D’Arcy Island was exhibited at the Southern Alberta Art Gallery in Lethbridge Alberta in Fall 2006.
 For more information on Don Gill and his work see Don Gill’s website
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.401 | 0.095 |
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".