Bibliographic record
Abstract
My work is anchored in analog technology, found materials, field recordings, and the search for constellations of micro-narratives. In August 2021, I drove from San Francisco, California to London, Ontario. During the seventeen days on the road, I recorded radio noise (AM, FM picket-fencing) as well as my voice describing the environment surrounding the road at the times when I could not stop to take a photo. The sounds collected from the long road are recorded chronologically in an intaglio print. These recordings are the foundation of multidisciplinary sound and visual projects that coalesce as an installation exploring place/no-placeness, transience, precognition, repetition, delays, disappearance, and noise.
 Works selected for tba journal are pinhole photographs, a double-sided intaglio print, and a sound composition, that are all a part of the series described in my artist statement and share the title hard ground / long road. The print is reproduced at its original scale; the text is followed by the reverse side of the print, which is a line drawing. Two pinhole photographs bookend the works on paper. The sound companion to the visual works is a composition created on and with magnetic tape. The composition foregrounds incidental sounds of the process of making the work: tape splicing and rewinding. recorder fixing, road noise and tape hiss, woven with cut-up radio recordings.
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 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".