Bibliographic record
Abstract
The 2017 painting Quebec by Adam Miller represents over four hundred years of Quebec history. Featuring recognizable Quebec and Canadian politicians, ordinary characters, and allegorical figures, this unusual work visualizes many of the debates surrounding the 150th anniversary of Canadian Confederation as well as the 375th anniversary Montreal's founding. Bringing together a collection of commentaries on the painting and its artist, this volume contemplates the Quebec and Canadian experience and the bonds that link art and history. Included within are a reproduction of the painting, assorted detail shots, a key to the figures represented, and preparatory drawings used for the final work. Furthermore, essays by art historians François-Marc Gagnon, Donald Kuspit, and Alexandre Turgeon reflect on the painting and its style, as well as on its representation of history in relation to questions of politics, art, and collective memory. The book also contains an interview with Adam Miller conducted by Clarence Epstein, which reveals the sources of inspiration for the piece and the artist's creative process. A preface by the patron who commissioned the painting, Salvatore Guerrera, rounds out the contributions. Adam Miller is a painter known for his polished neo-classical figurative style that dramatizes historical subject matter and themes of social justice. He lives in New York.
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 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.297 | 0.033 |
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".