Bibliographic record
Abstract
My installation begins outside of the space, where the viewer will be directed into the room by a wooden ramp going in one doorway and stairs into the other. Upon entrance the viewer becomes the participant: there is a front porch and a fragrance of soil or outdoors, there are porch swings and benches, and it feels like late evening. There are two computer monitors on either end of the porch, mimicking information-stations at national parks. Here, the participant is directed with instructions to touch the screen, which triggers video projections. It will be possible for both screens to be activated simultaneously, so there will often be dual images projected. The projections will include landscape and city recordings and sounds from places of I choose. They will be my own as well as work by other artists responding to my direction. The screens that activate the video will utilize touch-screen technology, and the appearance is very simple with only names of places written in my handwriting. It will be possible to touch the word "Montreal" while someone else touches the word "Barbados" and have similar footage from both of these places projected.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.012 | 0.006 |
| Insufficient payload (model declined to judge) | 0.537 | 0.387 |
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".