Bibliographic record
Abstract
“Photography provides a record of history but also offers a unique mode of storytelling. But what happens when the history of a photograph is forgotten or when no one is left to tell its story and darkness is all that remains? In Provenance Unknown, Toronto-based artist Sara Angelucci offers a space of contemplation between what is knowable about the human form in the photograph, and what can be imagined from the other side. Provenance Unknown brings together two new bodies of work: The Anonymous Chorus and Aviary, both inspired by found, anonymous, and unattributed photographic portraits that the artist purchased on eBay. These works represent a distinct shift in the artist’s practice. Here, Angelucci moves away from exploring the familiar to interrogating the anonymous and from investigating her own identity and family lineage to tracing the histories of others. Throughout this eccentric inquiry into the “liveness” of the photographic portrait, she performs as well the role of amateur historian, but to very different ends. In these works, she mixes analogue sources and digital techniques, and works across disciplines through collaboration with composers, singers, and ornithologists. The Anonymous Chorus and Aviary open a temporally suspended space between past and present, where the subjects of these “lost” portraits may come to life, once again, in a new state of being that transcends their roles as artifacts of a former time. ” -- publisher's website
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".