Metadata for YOLOv5_FPC Detected Images
Bibliographic record
Abstract
The CSV and Excel file contain metadata for YOLOv5_FPC-detected images, including URLs, Index, FileName, Year, Month, Day, YearMonthDay, and NewspaperSource. These were identified from the Chosun Ilbo Newspaper Digital Archives covering the period from 1920 to 1940, from a total of 47,777 JPG image files, accessed from https://newslibrary.chosun.com. The image extraction process was automated using the YOLOv5_FPC model, a fine-tuned iteration of the YOLOv5 model. In the URLs column, there are direct links to the official Chosun Ilbo website where the Four-panel-cartoon (FPC) is published. The Index column consists of numbers from 1 to 1035, representing the FPC files discovered using YOLOv5_FPC, totaling 1040 FPC image objects. The FileName column contains the image file names, while the Year column indicates the publication year of the FPC, with Month and Day columns denoting the respective month and day of publication. The NewspaperSource column provides information about the newspaper, in this case, Chosun Ilbo. With these metadata, any researchers can easily access the corresponding URL addresses for specific publication dates and study the 1040 FPC objects, including previously undiscovered FPCs. Our dataset includes FPCs that have not been discovered by previous researchers, to the best of our knowledge. We hope that this dataset will foster further global interdisciplinary discourse on Korean culture and history, during 1920 to 1940, shedding light on socio-cultural phenomena in modern Korea as well.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.042 |
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".