Bibliographic record
Abstract
Abstract This paper discusses hermeneutics arising from a fastidious reading of Adam C. Schwartz (2019) which is an English translation with commentary of the Oracle-Bone Inscriptions from Yinxu Huayuanzhuang Locus East , one of the most contextually cohesive, and archeologically well-documented, collection of OBI (acronym of “oracle-bone inscriptions”) unearthed to date. The paper underscores the importance of methodology of reading OBI . It will be seen that Schwartz’s book suffers from the lack of disciplined application of any particular persuasion. It is, in this sense, disappointing, though there is much else in the book that offers original ideas. As for the English translations Schwartz provides for each and every inscription of the collection, many are questionable (even unreliable), a few incomprehensible, and this is due mainly to failure of procuring a relevant bibliography and acquiring technical (linguistic) finesse to grasp and assess some important issues in the literature written in English.
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 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 | 0.001 | 0.043 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".