Edward Burtynsky : quarries : the quarry photographs of Edward Burtynsky
Bibliographic record
Abstract
Over a twenty-five year career exploring the landscape as transformed by industry, this celebrated Canadian photographer Edward Burtynsky has accumulated a body of work on large-scale quarries around the world. Including Canada, Italy, China, Spain, Portugal, India and America, these thought-provoking studies of sites that are created as we dig into the earth for material in order to build our cities, urge us to consider how we as viewers are simultaneously attracted yet repulsed by these landscapes somewhere a building is created while a landscape is destroyed.Edward Burtynsky, is one of Canada's most respected photographers. His remarkable photographic depictions of global industrial landscapes are included in the collections of 16 major museums around the world, including the National Gallery of Canada, the Bibliotheque nationale in Paris, the Museum of Modern Art and the Guggenheim Museum in New York. Ed Burtynsky's numerous distinctions include the TED Prize, The Outreach award at the Rencontres dArles, and Canada's highest civil honour: Officer of the Order of Canada. In 2005, Steidl published his celebrated book China.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
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".