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
Kim Simon will introduce Canadian Gallery TPW in as an institution and share a thread of her curatorial work investigating an ethics of showing and looking in relation to the aesthetics of troubling images. In relation to this research, Simon will discuss her exhibitions and discursive programs looking at work by Polish artist Artur Zmijewski, American documentary photographer Eric Gottesman, filmmaker Renzo Martens, and a group exhibition looking at the relation between difficult knowledge, narrative abstraction, affect and thought (in works by Chanarin and Broomberg (UK), Jannicke Laker (Norway), Ken-Gonzales Day (US), John Moore (US) and Paolo Canevari (It). \nKim Simon is Curator of Gallery TPW in Toronto. Founded in 1980 as a non-profit venue for photographic practices, TPW is committed to a media-specific but now expanded mandate, addressing the vital role that images play in contemporary culture and exploring the exchange between photography and time-based media.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it