Bibliographic record
Abstract
Traces: Here/Not Here endeavors to put a positive spin on our mortality. We are here, and at some point we will no longer be here: by virtue of living, we will die - but what do we do with this time we have? This body of research creation is about life; about our time-limited lifetimes, our experience of it, and about the effects of our actions. It is about the affect of our interconnectivity with each other, human and non-human, animate and inanimate. By way of interactive artworks featuring playful and dynamic sculptures which must be activated by the physical effort of the artist, a collaborator or a visitor/participant, a durational performance is experienced leaving indexical marks, prompting mindful consideration of our inter-connectedness, and injecting optimism that we can use this opportunity to act for what matters most to each one of us. \nThrough a reflexive practice-led methodology, augmented by literature reviews of theorists, critical thinkers, artists, and art historians, the research investigates the themes of time, Posthuman interconnectedness, as well as investigating participatory and ludic art, which activates the body and the special knowledge creation centered there.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.191 | 0.070 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".