Getting Lost Through the Relational Mail Art of Art/Re-search (T)here
Bibliographic record
Abstract
Art/Re-search (T)here is a SSHRC-funded project that creates new understandings of art, research and decolonized processes amongst theories of knowledge. The relational mail art of Art/Re-search (T)here unfolds through post theories of the (post)qualitative posthumanist philosophies and decolonized practices. These disruptive co-compositions happen by getting lost through thing-power, and through the decolonial project of re-turning to the dynamic whole. (T)here, co-conspirators collaborate through art to reimagine re-search. The project’s initial research questions change alongside co-conspirators in transit as binary knowledge is (un)learned and disrupted. As the mail art travels to entangled spaces, processes are risky, glitchy, (un)known, and trans-formed. In letting go of research questions, art/re-search creates trans-formations. The authors put a call to action for re-searchers to work together through art in ways that question the structure of academia and how we come to know/be. Through relational (un)learning and risk-taking, some-thing lost is getting (t)here.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.004 |
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".