Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract How can movements in animated films be described? Figure and Force in Animation Aesthetics introduces a powerful new method for the study of animation. By looking for figures—arrangements that seem to intuitively hold together—and forces—underlying units of attraction, repulsion, and direction—it reveals startling new possibilities for animation criticism, history, and theory. Drawing on concepts from Gestalt psychology, the book offers a wide-ranging comparative study of four animation techniques—soft-edged forms, walk cycles, camera movement, and rotoscoping—as they appear in commercial, artisanal, and avant-garde works. In the process, through close readings of little-analyzed films, the book demonstrates that figures and forces make fertile resources for theoretical speculation, unearthing affinities between animation practice and such topics as the philosophy of mathematics, scientific and political revolution, and love. Beginning and ending with the imperative to “look closely,” Figure and Force in Animation Aesthetics is a performance in seeing the world of motion anew.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it