Bibliographic record
Abstract
The veritable records of the Chosŏn dynasty (about 1900 fascicles; more than 49 million characters), refer to the collection of official records of governance pertaining to each king’s reign. When a king died, his successor edited an official history of his predecessor’s reign in the order of day, month, and year, made four copies of it, and deposited them at “history storages”. The whole sets of the veritable records (實錄; sillok) of the Chosŏn dynasty encompass the reigns of 27 kings (1392‑1910). In the Chosŏn dynasty, the sillok played an important role in guiding the king and his officials by subjecting them to historical evaluation by dynastic chroniclers and descendants and thus warning them against any wrongdoing. The usefulness of the veritable records of the Chosŏn dynasty in Korean studies is unsurpassable and the open accessibility to both the originals and the Korean translations could not be better (sillok.history.go.kr). For any student of Chosŏn Korea and, by extension, Korean studies, consulting the veritable records of the Chosŏn dynasty is a must.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
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".