Bibliographic record
Abstract
reader : Then you consider Partition to be a cause of the awakening? Do you welcome the unrest which has resulted from it? editor : When a man rises from sleep, he twists his limbs and is restless. It takes some time before he is entirely awakened. Similarly, although the Partition has caused an awakening, the comatose state has not yet disappeared. We are still twisting our limbs and still restless, and just as the state between sleep and awakening must be considered to be necessary, so may the present unrest in India be considered a necessary and, therefore, a proper state. The knowledge that there is unrest will, it is highly probable, enable us to outgrow it. Rising from sleep, we do not continue in a comatose state, but, according to our ability, sooner or later, we are completely restored to our senses. So shall we be free from the present unrest which no one likes. reader : What is the other form of unrest? editor : Unrest is, in reality, discontent. The latter is only now described as unrest. During the Congress period it was labelled discontent; Mr Hume always said that the spread of discontent in India was necessary. This discontent is a very useful thing. So long as a man is contented with his present lot, so long is it difficult to persuade him to come out of it. Therefore it is that every reform must be preceded by discontent.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.024 | 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".