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
This longform conversation features Ivetta Sunyoung Kang, a roving conceptual artist, worker, researcher and poet, in conversation with Toronto-based curator and writer Dhvani Ramanujam. Working across geographically dispersed contexts including Canada, Germany, and South Korea, Kang’s interdisciplinary practice plays with unsettling language, knowledge production and official state histories, by producing counter-memories through the use of archival research, poetics and semiotics. These methods are at the foreground of I’m Allergic to Archival Dust, Kang’s 2023 multimedia project that exposes the marginalized histories of South Korean guest workers in West Germany whose labour was exported under a 1960s cross-national agreement. Combining videos, process-based photographs and built objects in tandem with participatory gestures, Kang’s work exposes the linguistic gaps, corporeal fragments and ephemeral memories that mutate the guest worker history into a post-colonial ‘debris’ that evades both the linear temporality and physical containment of official German state archives. Together in conversation, Kang and Ramanujam unfurl the aesthetics of archival installations; the materiality of grief in the guest worker archive; grief’s sticky residues found in bodily archival encounters; and the re-enlivement of this history through a flux of spectatorial reenactments.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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