Bibliographic record
Abstract
reader : I appreciate your views about civilisation. I will have to think over them. I cannot take in all at once. What, then, holding the views you do, would you suggest for freeing India? editor : I do not expect my views to be accepted all of a sudden. My duty is to place them before readers like yourself. Time can be trusted to do the rest. We have already examined the conditions for freeing India, but we have done so indirectly; we will now do so directly. It is a world known maxim that the removal of the cause of a disease results in the removal of the disease itself. Similarly, if the cause of India's slavery be removed, India can become free. reader : If Indian civilisation is, as you say, the best of all, how do you account for India's slavery? editor : This civilisation is unquestionably the best, but it is to be observed that all civilisations have been on their trial. That civilisation which is permanent outlives it. Because the sons of India were found wanting, its civilisation has been placed in jeopardy. But its strength is to be seen in its ability to survive the shock. Moreover, the whole of India is not touched. Those alone who have been affected by western civilisation have become enslaved. We measure the universe by our own miserable foot-rule. When we are slaves, we think that the whole universe is enslaved.
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 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".