Preface to Gandhi's edition of the English translation of Leo Tolstoy's <i>Letter to a Hindoo</i>
Bibliographic record
Abstract
Gandhi wrote this Preface and translated the Letter to a Hindoo into Gujarati during the same week that he composed Hind Swaraj . [Ed.] November 19, 1909 S. S. Kildonan Castle The letter that is printed below is a translation prepared by one of Tolstoy's translators of his letter written in Russian in reply to a letter from the Editor of the Free Hindustan . The letter, after having passed from hand to hand, at last came into my possession through a friend who asked me, as one much interested in Tolstoy's writings, whether I thought it to be worth publishing. I at once replied in the affirmative and told him I should translate it myself into Gujarati and induce others to translate and publish it into various Indian vernaculars. The letter as received by me was a typewritten copy. It was, therefore, referred to the author who confirmed it as his and kindly granted me permission to print it. To me, as a humble follower of that great teacher whom I have long looked upon as one of my guides, it is a matter of honour to be connected with the publication of his letter, such, especially, as the one which is now being given to the world. It is a mere statement of fact to say that every Indian, whether he own up to it or not, has national aspirations.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.120 | 0.045 |
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".