Bibliographic record
Abstract
"Bulgarian-Canadian artist Biliana Velkova’s solo exhibition Splendid includes a series of three large-format photographs that reflect how culture and commerce shape our perception of nature, referring specifically to Banff as a symbol of the Canadian landscape. More generally, Velkova’s work explores how perceptions of “Canadianness” are constructed. The photographs, lush and gorgeous, depict Velkova as a symbol of Disneyfied Canadiana. Dressed in elaborate gowns with long flowing capes and trains that float on the breeze, she is a snow princess who rides a horse-drawn carriage through the picturesque mountain town, who stands overlooking a dramatic Rocky Mountain vista, and who is pulled by dogsled across a frozen lake. The other main component of this exhibition is a line-drawn prairie landscape, rendered in 27 feet of white neon. The piece makes further comment on the slick commercialization of the Canadian wilderness, and how these notions both drive a tourist market and also contribute to a sense of national identity – a fraught concept in a colonialized and multicultural nation." -- Publisher'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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.063 | 0.015 |
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".