Bibliographic record
Abstract
Is the writing of history a subjective translation of the past or a truthful recording of the facts? Some theorists suggest that historiography is a geo-political space to expand power and control while others insist that history is no more than a fiction. Through the comparison of different textual descriptions of the same Chinese historical events in the late 19th and early 20th century, the author of this article contends that although the historiographers should keep an eye towards updating the source material with newly discovered evidence, the past is a once existent reality and therefore has a compelling and distinctive form which a postmodern fiction can never replace; and although the interpretation of history cannot ideally avoid the possibility of bias shaped by individual discourses of a given culture, readers have the right to know the facts as such; otherwise, what Hegel once worried about might come true though in a different version: "the only thing we can learn from history is that no one learns anything from history."
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".