Bibliographic record
Abstract
At each city, the EU Project PERFORMIGRATIONS: PEOPLE ARE THE TERRITORY presented e series of interactive project realized by seven artist selected through a public call, in dialogue with the various geo-cultural realities and with local artists and scholars. At each location, Mobile Interventions was composed of those pieces of an installation in process that can change over time, evolve, interact with local artists and conditions, and be shipped to other locations. Rather than operating just in formal gallery spaces, Mobile Interventions also operated in the interstices of events; the exhibition was therefore conceived of as a mutable, malleable, mobile assemblage because it will adapt to different spaces, territories and communities. In Toronto, the selected projects were: Address Known; A/Vgrations; Mass Trasfer; La vie saissoniere; The Secret School. The exhibited 'solo project' was “Transition in Progress: Making Space for Place” by Italian artists Elena Basile, Roberta Buiani, Valentina Sutti. The event took place in October 2015 at the Paul H. Cocker Gallery Ryerson University(see brochure).
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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.425 | 0.098 |
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; the direct Gemma label and the distilled Codex classifier 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".