June Clark by Jacob Korczynski : Photographs and installations that make meaning from memory and community.
Bibliographic record
Abstract
Born and raised in Harlem, June Clark was forced to relocate in 1968 during the Vietnam War to the city in Treaty 13 territory known as Toronto. It was here, following her initial separation from family and community, that she commenced her trajectory as an artist with a camera she had been gifted. Her approach to image-making that began in Toronto has since brought her back home as Artist-in-Residence at the Studio Museum in Harlem and taken her to Paris for extended periods.For many people of my generation and younger, exposure to Clark’s practice arrived eight years ago through Toronto: Tributes + Tributaries, 1971–1989, the inaugural exhibition curated by Wanda Nanibush at the Art Gallery of Ontario. Formative Triptych (1989) literally shone in that show with its the three duratrans transparencies in lightboxes that each paired images with typeset texts reflecting on moments from Clark’s childhood. Instead of making photographs for this series, Clark utilized extant photographs as material, including two snapshots from her youth and one portrait of iconic blues singer Bessie Smith by Carl Van Vechten.Witness is both noun and verb. Positioned directly after Clark’s name to comprise the title of her current exhibition, the word seems to adopt the former sense with reference to the artist as its literal embodiment. Viewers, however, make manifest the latter meaning as they enter the Power Plant and move through a survey spanning three decades of her work.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.007 |
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".