Bibliographic record
Abstract
Research Article| September 03 2019 A Sense of Loss and Making: A Conversation with Laura Letinsky Sarah Goodrum Sarah Goodrum Sarah Goodrum is Berlin-based art historian, writer, translator, and editor of the Art Market Dictionary book and database project at De Gruyter publishers. Search for other works by this author on: This Site PubMed Google Scholar Sarah Goodrum is Berlin-based art historian, writer, translator, and editor of the Art Market Dictionary book and database project at De Gruyter publishers. Afterimage (2019) 46 (3): 31–42. https://doi.org/10.1525/aft.2019.463005 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Sarah Goodrum; A Sense of Loss and Making: A Conversation with Laura Letinsky. Afterimage 3 September 2019; 46 (3): 31–42. doi: https://doi.org/10.1525/aft.2019.463005 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAfterimage Search Laura Letinsky is a theoretically minded photographer who is sensitive to art history. Her photographic still lifes have all the light obsession of a Vermeer and the lushness of Dutch vanitas paintings, but contain modern Styrofoam cups among natural detritus of orange rinds and rumpled and spilled cut flowers. And her recent photographs of two-dimensional image ensembles construct mysterious relationships and disarrange our familiar associations. Her work is often beautiful and ambiguous and full of the pathos of decay and, as such, suggests the outlines of the photographic medium itself. Originally from Canada, Letinsky is based in Chicago, where she is a professor in the Department of Visual Arts at the University of Chicago. She has published and exhibited widely and internationally—most recently at PHotoEspaña 2019.1 I originally met her during her residency at Künstlerhaus Bethanien in Berlin in the summer of 2017. We Skyped between Berlin and Chicago... You do not currently have access to this content.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".