Bibliographic record
Abstract
Susan Hanley was a Department of the Army civilian working as a Director of the Art and Craft Shops. She arrived in Korea in October, 1956 and left about February 1959. She was located at Camp Kaiser until the fall of 1958 when she was transferred to Puson [later called Buson]. Most of the photographs by Hanley in this collection were taken in the vicinity of Camp Kaiser and near Unchon-ni [later called Incheon City). As director of the Crafts Shop, she received permission to take soldiers out of the camp on photo trips into the countryside and the Army provided transportation -- jeep, truck, and bus. Also, according to Hanley, "travel in Korea was in the Army's small planes that were more like taxi cabs, we would call for one and they would pick us up or take us to where ever we wanted to go so there are many aerials in the collection". From Camp Kaiser she went monthly to Seoul to buy supplies for the Crafts Shop and a few photos were taken en route. The railroad images were taken on Hanley's train trip from Seoul to Puson. The remaining photos were taken in Puson -- city, army base, boats, and coast. The University of Southern California does not own the physical photographs. Hanley allowed them to be digitized for this collection.
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 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.122 | 0.024 |
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".