Bibliographic record
Abstract
Hind Swaraj is Gandhi's seminal work. It is also a work which he himself translated from Gujarati into English: no other work of his, not even the Autobiography (translated by his secretary), enjoys this distinction. As such, the English text of this work, which is being presented here, possesses an authority all of its own. It was this text that Tolstoy and Romain Rolland, Nehru and Rajaji read and commented upon. It was through this, not the Gujarati text, that he hoped, as he put it, ‘to use the British race’ for transmitting his ‘mighty message of ahimsa ’ to the rest of the world (Watson 1969, 176). And it was to this text that he returned throughout his career as if to the source of his inspiration. Hind Swaraj is the seed from which the tree of Gandhian thought has grown to its full stature. For those interested in Gandhi's thought in a general way, it is the right place to start, for it is here that he presents his basic ideas in their proper relationship to one another. And for those who wish to study his thought more methodically, it remains the norm by which to assess the theoretical significance of his other writings, including the Autobiography . It can also save them from the danger of otherwise getting drowned in the vast sea of Gandhian anthologies.
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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.382 | 0.238 |
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".