Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since 2014, the Hamilton Perambulatory Unit (Donna Akrey and Taien Ng-Chan) has held performative art-mapping events in art galleries, universities, parks, trails, city streets, and on public transit. The methods that we have developed in our strata-walks and KM2 ("Kilometre Squared") projects are geared towards a wide variety of audiences and aim to focus attention on the multiplicity of sensory, social, and historical layers that make up place, particularly hidden and alternative narratives1. Our most recent project is a series of sound pieces for a wide variety of GPS "hot spots" around Port Hope, Ontario, Canada, which range from soundscapes using field recordings to interviews with locals and readings of archival material. This wide variety of approaches is consistent with our method of "strata-mapping"a practice of focusing one's attention on a single "layer" of place, with the understanding that it is one layer out of infinite layers. Each of these sound pieces are geolocated to where they were made (whether interview, archive, field recording), and available on a smartphone application for download, so that the sounds can be listened to in the context of the environment where it originated, which will provoke the listener to see the place with new eyes.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 it