Bibliographic record
Abstract
The Superorganism Group exhibition. The exhibitions seeks to inquire artistic practices that explores object and space in various ways. The space where the tactile aspect and the possibility to become aware of ones own body exists. The object on the other hand defines the individual by mirroring humanity both physical and emotional. The different works in the exhibition can be seen as fragments that question what it means to be alive today and oscillates between the soft body, the machine made, societies and language. What objects do we find interesting in a time where the border between man and machine is erased? Is the object a tool, a decoration, fetish or maybe all three? Artistic practices loosely bound together, with an interest in materiality in common, we curators see this exhibition as a draft, a sketch, snapshot of a much larger whole. Curated by Josefina Posch and Alexandra Nyman. Participating Artists: Aganetha Dyck - Canada Anja Carr - Norway Dominique Rey - Canada Laura White - UK Linda Tedsdotter - Sweden Yngvild Saeter - Norway
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.013 |
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".