한국전쟁기의 의료구호기관: 거제 세브란스병원의 개원과 운영
Bibliographic record
Abstract
This research aims to identify the characteristics and role of Koje Severance Hospital as a medical relief institution during the Korean War and to examine its status as a regional healthcare institution on Geoje (Koje) Island. To clarify that, this article confirms the opening process and operation of Koje Severance Hospital, a representative medical relief hospital during the Korean War. Based on the analysis of the newly collected documents, it shows the official reason the hospital was opened in Jangseungpo, Geoje Island. Severance Hospital was designated as a hospital on Geoje Island in late January 1951 to handle the United Nations Civil Assistance Corps Korea (UNCACK)’s public health affairs. The hospital was responsible for the free treatment of refugees and for UNCACK’s public health affairs, including checking the health status of refugees, checking for infectious disease prevalence, patient care and isolation of infectious diseases, clinical testing, and dissection.\nThis project continued even after March 1952, when the reconstruction project of Severance Hospital in Seoul began. However, the hospital’s operation deteriorated because the Ministry of Health’s subsidies and a severance fund were not paid in time. The hospital was transformed into a local medical institution and moved to a new location from 1952-1953. Because there were very few medical institutions on Geoje Island, the hospital was maintained after the Korean War ended with the armistice. As a result, the Canadian Mission took over the management of the hospital and continued its medical activities, and a general practitioner (GP) who graduated from Severance Medical College took over as the hospital director and operated it until its closing in early 1970. The hospital used the name “Severance” until it closed, which suggests that Severance Hospital’s name had a significant meaning in Geoje.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".