Bibliographic record
Abstract
reader : I now understand why the English hold India. I should like to know your views about the condition of our country. editor : It is a sad condition. In thinking of it, my eyes water and my throat gets parched. I have grave doubts whether I shall be able sufficiently to explain what is in my heart. It is my deliberate opinion that India is being ground down not under the English heel but under that of modern civilisation. It is groaning under the monster's terrible weight. There is yet time to escape it, but every day makes it more and more difficult. Religion is dear to me, and my first complaint is that India is becoming irreligious. Here I am not thinking of the Hindu, the Mahomedan, or the Zoroastrian religion, but of that religion which underlies all religions. We are turning away from God. reader : How so? editor : There is a charge laid against us that we are a lazy people, and that the Europeans are industrious and enterprising. We have accepted the charge and we, therefore, wish to change our condition. Hinduism, Islamism, Zoroastrianism, Christianity and all other religions teach that we should remain passive about worldly pursuits and active about godly pursuits, that we should set a limit to our worldly ambition, and that our religious ambition should be illimitable. Our activity should be directed into the latter channel.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".