Arthur S. Goss: Works and Days. UNIVERSITY GALLERY, RYERSON IMAGE CENTRE
Bibliographic record
Abstract
The selected Arthur S. Goss images on display this past year at the University Gallery of the Ryerson Image Centre, Toronto, ambitiously tackled the idea of representing the quotidian in the archival document and raised the problem of how to interpret meaningfully the context of a large volume of material in the selection of a representative sample.Broken into eleven sequential slice-of-life units of four to nine images each, the Works and Days exhibition represented Goss's thirty-seven-year career as Toronto's official photographer, featuring a selection of daily tasks emphasizing the "serial, rational-procedural character" 1 of Goss's image-making activities as "a photographer embedded in, and beholden to, an early twentieth-century urban bureaucracy." 2 Goss, who started his civic career as an office boy and worked his way up to clerk and draftsman, was appointed the City's head of photography and blueprinting in 1911 and went on to create more than 35,000 documentary images of Toronto before his death in 1940.Some of these images, including Goss's iconic photographs of slum dwellings in the Toronto Centre Ward, have been more widely exhibited than others, leading to Goss's "haloed ... reputation [as] a social reformer," a representation that curators Blake Fitzpatrick and John Bentley Mays sought to refute with their selections for this new exhibition.
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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 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.131 | 0.023 |
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".