Bibliographic record
Abstract
At Eindhoven University of Technology, which has a modest reputation for collecting contemporary art, an exhibition of large machines and poetic video clips by father and son Van Bakel invites passersby to reflect on mobility. Gerrit van Bakel, who died more than a quarter century ago, became known for his Tarim Machine, a vehicle that moves at such a low speed that it almost does not matter whether it moves or not. The propulsion principle—for those who love technology—rests on the dilatation energy of oil in tubes propelling (if propelling is the right word …) the contraption a couple of centimeters over a hundred years or so, as long as there is change in temperature to trigger the dilatation. Emphasizing his father’s insights, Michiel van Bakel, exhibits a video clip of a horse and rider galloping over a square in Rotterdam, where the position and camera work are operated so that the horse seems to turn around its axis while the environment rotates at a different tempo. Mobility, these Dutch artists convey, is often not what it seems to be.
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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.067 | 0.060 |
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".