Bibliographic record
Abstract
The paintings in Based on a True Story are at once illogical and concrete – implying both failure and the hope of figurative and architectural construction. Developed as a kind of psychological landscape, they suggest a depiction of contemporary societal / political, and environmental instability. Neither true nor false: the paintings are spaces in which one may become dislocated, anxious, and unsettled. Inclusion of architectural fenestration suggests one’s fractured location and continually shifting ground. Furthermore, literary and cinematic fiction plays an important role to the work in that they both suggest landscapes that may never exist literally. Fiction is also indicative of the close relationship between the utopia and dystopia as environments for escape. This sense of balance or lack thereof, becomes important to the development of the theatrically absurd, so that an audience may be implicated as the tragic and comic active participant. While investigating the work of Peter Doig, Stephen Bush, and Dana Schutz, for example, I suggest that the trail of the painter’s hand becomes a necessary mode of entrance into the work, offering a closer relationship to the act of painting as another form of escape. This gestural mark-making runs counter to current pushes toward technology, and suggests the re-emergence of painting as a primary approach in which to investigate the development of personal space and experience.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.044 | 0.010 |
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".