The visual arts in Canada : the twentieth century
Bibliographic record
Abstract
ABBREVIATIONS: COLLECTIONS CITED CONTRIBUTORS ACKNOWLEDGEMENTS 1. ANNE WHITELAW: ART INSTITUTIONS IN THE TWENTIETH CENTURY: FRAMING CANADIAN VISUAL CULTURE 2. BRIAN FOSS: INTO THE NEW CENTURY: PAINTING, C.1890-1914 3. CHARLES C. HILL: TOM THOMSON AND THE GROUP OF SEVEN 4. GERTA MORAY: EMILY CARR: MODERNISM, CULTURAL IDENTITY, AND ETHNOCULTURAL ART HISTORY 5. ALAN C. ELDER: DESIGNING CANADA 6. LORA SENECHAL CARNEY: MODERN ART, THE LOCAL, AND THE GLOBAL, C.1930-50 7. SANDRA PAIKOWSKY: MODERNIST REPRESENTATIONAL PAINTING BEFORE 1950 8. FRANCOIS-MARC GAGNON: PAUL-EMILE BORDUAS AND THE AUTOMATISTES 9. JOYCE ZEMANS: MAKING PAINTING REAL: ABSTRACT AND NON-OBJECTIVE ART IN ENGLISH CANADA, C.1915-61 10. INGO HESSEL: A CULTURE IN TRANSITION: INUIT ART IN THE TWENTIETH CENTURY 11. DIANA NEMIROFF: GEOMETRIC ABSTRACTION AFTER 1950 12. CHRISTINE BOYANOSKI: SCULPTURE BEFORE 1960 13. JOHANNE SLOAN: THE NEW FIGURATION: FROM POP TO POSTMODERNISM 14. MARTHA LANGFORD: A SHORT HISTORY OF PHOTOGRAPHY, 1900-2000 15. WILLIAM WOOD: SCULPTURE AND INSTALLATION SINCE 1960 16. JAYNE WARK: CONCEPTUAL ART IN CANADA: CAPITALS, PERIPHERIES, AND CAPITALISM 17. RUTH B. PHILLIPS: ABORIGINAL MODERNITIES: FIRST NATIONS ART, C.1880-1970 18. LEE-ANN MARTIN: CONTEMPORARY FIRST NATIONS ART SINCE 1970: INDIVIDUAL PRACTICES AND COLLECTIVE ACTIVISM 19. CHRISTINE ROSS: EXPERIMENTAL VIDEO IN CANADA AND THE QUESTION OF IDENTITY 20. LAURIER LACROIX: WRITING ART HISTORY IN THE TWENTIETH CENTURY LIST OF RESOURCES PICTURE INDEX / CREDITS GENERAL INDEX
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.017 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.003 |
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".