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
The story of Chinese lexicography, and indeed of China itself, from the years 600 to 1700 begins and ends in a period of unification. The short-lived Sui dynasty (605–18) unified the Chinese empire after centuries of division. In the wake of a new imperially sponsored examination system came dictionaries aimed at creating a unified standard for exam usage. By the early eighteenth century, the Manchu Qīng dynasty had eliminated most of the vestiges of rebellion from the previous dynasty and was set on expanding its territory. Part of its imperial project was linguistic, as the new multilingual empire staked its claim as an authority on Chinese, among other languages. During this period of more than a thousand years, states and dynasties came and went, and the territory claimed as China fluctuated drastically. A cultural identity, however, came to be maintained, in large part on the basis of a textual tradition. The centrality of texts and language for participating in this culture is reflected in turn by the important place lexicography occupied in the world of Chinese scholarship.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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