Bibliographic record
Abstract
Marie Menken was a New York-based experimental filmmaker who produced her main work during the 1950s and 1960s. Born in Brooklyn to an immigrant Lithuanian family, she attended the New York School of Fine and Industrial Arts and the Art Students’ League, where she was trained as a painter, her original vocation. After finishing her studies, she worked as a secretary to Hilla Rebay, first director and chief curator of the Museum for Non-Objective Painting (later renamed Salomon R. Guggenheim Museum). In 1936 she was granted a summer residency at the Yaddo artist colony in upstate New York, where she met Willard Maas (1907–1970), another resident, then a rising poet and editor. They married the following year and stayed together for the rest of their lives in a complex, at times embattled, relationship that led to fruitful artistic collaboration. By Maas’s own account, their interest in film was spurred by their friend Norman McLaren, the Scottish animator who lived in New York during the war years before moving to Canada to direct the Animation Division of the National Film Board.
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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.012 |
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".