Jason Lazarus : T. H. T. K. (Toronto)
Bibliographic record
Abstract
"Initiated in 2010, “Too Hard to Keep” (T.H.T.K.) is a repository for photographs, photo-objects, and digital files that are too difficult for their owners to hold onto, but which are too meaningful to destroy. Bringing together a wide range of anonymous images—including portraiture, landscape and still life—the archive also includes “unshowable” photographs: photographs donated by participants with the stipulation that they are not exhibited publicly, and are instead shown face-down, obscuring the image. Through Lazarus’s installation, which presents a selection of images from the main archive as well as submissions from local donors, the T.H.T.K. archive raises questions that have been the focus of conversations about photography and difficult knowledge at Gallery TPW over the past few years; questions about what we want from photographs, how we understand images that are separated from their producers’ narratives, and why we continue to feel affective attachments to photographs as objects." -- Publisher's 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.150 | 0.030 |
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".