Bibliographic record
Abstract
The archive of Wayne Thom, a renowned architectural photographer who shot only with natural light, worked without assistant and meticulously printed his own images," came to the University of Southern California Libraries in September 2015."Thom’s stunning photographs of landmark buildings throughout the American West and Asia... include many buildings on the USC campus, including images of von KleinSmid Center, the 1968 USC Annenberg School for Communication and Journalism building, Heritage Hall, Varian Hall and others."The collection dates from the 1960s through 2012 and in addition to his photographs include his extensive graphic design work such as architectural brochures for clients."Thom, who was born in Shanghai, raised in Hong Kong and migrated to Vancouver before coming to California to study at Brooks, has photographed across the Pacific Rim, as well as throughout the Western United States. He uses a 4×5 Sinar view camera, a distinctive Swiss brand favored by architectural photographers and professionals doing advertising product work. Thom stuck with film until 2003, when he felt that the quality of digital cameras had improved enough for his exacting standards."The Wayne Thom Photography Collection in the USC Digital Library comes initially from the images Thom shot digitally or digitized himself. He provided access to many of these on his Website (https://waynethom.com/). Additional images were digitized by the USC Digital Library from his analog photographs.All quotations are from Allison Engel. "Architectural photographer Wayne Thom's beautiful images head to USC Libraries" in USCNews (2015 August 31). -- https://news.usc.edu/85649/photographer-wayne-thoms-archive-heads-to-usc-libraries/ (last visited: 2015-11-19).
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.355 | 0.119 |
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".