Bibliographic record
Abstract
Reports may possibly reach Your Lordship of disturbances in this Capital, and as more importance may be attached to them than they deserve, I beg leave to enclose the Berlin State Gazette of the 19th Instant from which you will find that the little that has passed here has arisen principally from the misconduct of a Police Officer upon the occasion of a trifling quarrel between some of the lower Classes in the neighbourhood of the Royal Palace in the evening of the 16th. A report was spread on the following day that the Palace would be attacked by the Populace in consequence of which a crowd collected before dark in that quarter but from its general description evidently more from motives of curiosity than from any other. Half the Garrison was however immediately ordered out, the crowd increased, and in the confusion and attempts of the Soldiers to disperse the People several well dressed Persons received Sabre and bayonet wounds. No Symptoms of disaffection were shewn except a few hisses from boys and some of the lower Classes, twenty or thirty of whom were arrested. After eleven O'Clock not a soul was seen in the streets except the Military.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.474 | 0.323 |
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".