Bibliographic record
Abstract
Throughout her career, Laura Letinsky has engaged with the fundamental question of what precisely constitutes a photograph. Investigating photography’s relationship with reality, Letinsky began by photographing people but shifted to focusing almost exclusively on objects in the form of the still life. Her large-scale, carefully crafted scenes often focus on the remnants of a meal or party, as she plays with ideas about perception and the transformative qualities of the photograph. \n \n \n \nFor one of her earlier, long-term series, Hardly More Than Ever (1997-2004), Letinsky arranged and photographed leftover food and used crockery, along with various objects such as vases or fruit bowls. Thinking of the photographs in this series as observations of overlooked or forgotten details and remnants of daily existence, Letinsky ultimately transforms this refuse into a subject worthy of close study - objects of real beauty. Her more recent series Ill Form & Void Full (2010-2014), explores the tension between material and image, as Letinsky extracts elements from already existing imagery in magazines of food and domestic wares, calling attention to the constructed nature of all photographs. \n \nLetinsky was born in 1962 in Winnipeg, Canada. She received her BFA from the University of Manitoba in 1986, and MFA from Yale University’s School of Art in 1991. Letinsky has held teaching positions at a number of prestigious American colleges, and since 1994 she has been a Professor in the Department of Visual Art at the University of Chicago. \n \nFurther information is available on the artist website.
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 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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; both teacher heads agree on what is shown here.
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".