Under the Ancestor’s Eyes: Kinship, Status and Locality in Pre-Modern Korea. By Martina Deuchler. Cambridge, Mass: Harvard University Asia Center, 2015. xviii, 609 pp [ISBN: 9780674504301]
Bibliographic record
Abstract
Under Ancestors' Eyes: Kinship, Status and Locality in Pre-Modern Korea, is a vast and ambitious work that seeks to explore the development of kinship -and the persistent importance of kinship and inherited social status -in pre-modern Korea from the early Silla dynasty to 1894.The bulk of the book, which is concerned with Andong and Namwŏn from the fifteenth century to the nineteenth, makes extensive use of documents from aristocratic sajok household of those areas to reconstruct the development of sajok status during the Chosŏn period.She works with the ambitious goal of tracing a "native kinship ideology" that placed the social maintenance of aristocratic social status above court politics.As she writes in the conclusion: "The indigenous kinship ideology, with its celebration of status hierarchy and status exclusivity, ran like a red thread through Korea's history from early Silla to the late nineteenth century" (408).The book is organized into five parts, each divided into several chapters.Part I, "Foundations" (15-76), explores the trajectory of a hereditary
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".