Bibliographic record
Abstract
Running at Montreal’s Phi Center, the exhibition Hybrid Bodies: An Artistic Investigation into the Experience of Heart Transplantation is a demonstration of such unmitigated collaboration. Launched in 2010 by a committed trans-disciplinary research team, across cardiology, philosophy, nursing, psychiatry, and sociology, practitioners invited four artists to work on the emotional and psychological impact of heart transplants on recipients. In this case, the remarkable innovation lies with the scientists, knocking at the door of the art world and going beyond mere dilettantism, as pointed out by UK participant Andrew Carnie in The Observer in 2002: “The practice of science is not isolated from the world we live in. Science has its politics, its economics, its fashions even. And anecdotally at least, some of the scientists involved in ‘sci-art’ collaborations report an intellectual engagement in them that goes further than personal enjoyment. It’s not just that it allows them to get out of their labs a bit more; it also seems to offer a different way of looking at their own work as scientists.” Exhibited works: Lacuna, A Change Of Heart, Heart and Mind Who is Knocking, A Tender Heart.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.220 | 0.022 |
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".