Bibliographic record
Abstract
The Bay Area Figurative Movement, also commonly referred to as the Bay Area Figurative School, was an art movement in the 1950s and 1960s. It was made up of a group of artists working in the San Francisco Bay Area who, in a move away from the New York School mode of abstraction, abandoned painting in the established style of Abstract Expressionism. These West Coast artists focused predominantly on the human body as their subject matter and eschewed Abstract Expressionism’s rejection of representation. The artists’ concentration on figurative work ultimately lent the group its name, although its subject matter included landscapes, cityscapes and still lifes as well. The Bay Area artists shared mutual interests and evolved a shared stylistic vocabulary. They received significant critical recognition, and helped redefine figurative art following Abstract Expressionism through a uniquely regional interpretation of modernist painting. The evolution of the Bay Area Figurative Movement was also culturally associated with the rise of beat culture in San Francisco, West Coast jazz, and reactions to World War II. It remains highly contested whether the Bay Area Figurative Movement was a deliberate and rebellious break with Abstract Expressionism or simply a cyclical return to the human figure as subject matter.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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".