Insights Into <i>JKMS</i> Submissions and Medical Journal Publications in Korea
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We analyzed the publication and submission statuses of Korean medical journals from 2010 to 2024, amidst challenges impacting researchers.Data from 58 domestic journals identified through the 2023 JCR database were used to assess publication status, while data from the Journal of Korean Medical Science (JKMS) were utilized to examine submission status.The proportion of published original articles by domestic authors decreased by 3% in 2024 compared to 2023.Submissions to JKMS also decreased overall, except for slight increases in May and October 2024.In contrast, international submissions to JKMS showed consistent growth, surpassing the 15-year average, reflecting growing global interest.Addressing issues, including medical school admission policies and the lingering effects of coronavirus disease 2019, is vital to ensure a sustainable and thriving medical research environment in Korea.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.137 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it