Bibliographic record
Abstract
D ear S imkins ,–On my return from a visit to Chandernagore, I found two letters full of your reflections on the questions of the advisability of our keeping India. One had come through Bombay, and the other by Point de Galle, and I am anxiously expecting another round the Cape. The problems which you select for discussion are certainly rather antiquated. Some three months ago you gave me your opinion about the annexation of Oude, in a treatise that displayed profound political wisdom, which more than compensated for a slight want of familiarity with the details of your subject. At first I was surprised and gratified to find that you had turned your attention to an event so recent; but it gradually began to dawn upon me that the annexation of Oude, which you had undertaken to justify in the sight of God and man, was not that accomplished by Lord Dalhousie, in 1856, but the arrangement which was effected by Lord Wellesley, as far back as 1801. While reading your letters I seem to resemble the traveller, who, during a tour in Southern Russia, in the year 1819, came to a Cossack village, somewhere between the Don and the Volga. He found the population in a state of wild excitement and exhilaration. Bonfires were blazing, and oxen roasting whole. The gutters ran with raki and train-oil. Peasants who had never tasted anything daintier than a rushlight now had their fill of long sixes.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 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".