Life on the Grid: 100 Years of Street Photography in Toronto. CITY OF TORONTO ARCHIVES.
Bibliographic record
Abstract
Rodgers noted how Goss meticulously documented his professional work: "He maintained intellectual control ... by assigning the developed negatives to a category and by numbering, dating, and titling each one by writing backwards across the bottom of the negative with India ink." 8 This practice seems like an important aspect of Goss's process, perhaps as important as the images themselves.When the evidence of an arrangement principle is written backwards by hand on the bottom of the negative, it is probably worth noting in the presentation of a thematic arrangement of prints made from those negatives.Some additional context may have opened up a more reflective contemplation of the images chosen for the Works and Days exhibition.Given the concision of the presentation, it seems that the curators expected the images would speak for themselves.Unfortunately, that resulted in the chosen units looking more like a random selection than exemplars of a bureaucratic process.The Ryerson Image Centre has emerged as a new collecting institution in Toronto with a focus on documentary photography, bolstered by the anonymous 2005 donation of 292,000 images in the Black Star Collection.While this collection remains the cornerstone of the centre's holdings, the Works and Days exhibition was just one of several recent exhibitions featuring images curated from other repositories, including the National Gallery of Canada.The centre has also acquired a number of smaller personal archival collections, a list of which can be accessed on its website, via the home page menu.9 No finding aids or catalogues of the holdings are yet available online, but research requests can be submitted directly to the centre's staff by email.The gallery is free to the general public.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.013 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 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".