Bibliographic record
Abstract
On 8 August 1942 the All-India Congress Committee adopted a resolution demanding ‘the immediate ending of British rule in India’. It also authorised Gandhi ‘to take the lead and guide the nation’ in the ‘Quit India’ satyagraha that followed the adoption of the resolution. Before Gandhi could take any actual steps to lead the campaign, he and the entire Congress leadership were thrown in jail by the Government. Nationwide riots followed, which were put down with an unprecedented show of force. Accepting his role as the ‘commander’ of the ‘Quit India’ satyagraha, Gandhi gave two speeches, the first in Hindi and the second in English. The text of the latter is given below. Its intended audience included the whole nation as well as the international community, especially the Allied Powers. He coined for the occasion a new mantra – ‘do or die’ ( karenge ya marenge ). Ironically, the inspiration for the new mantra came from a stanza in Lord Tennyson's ‘Charge of the Light Brigade’ written to commemorate the fate of the British soldiers who perished in the Crimean war: ‘Their's not to make reply, Their's not to reason why, Their's but to do and die.’ These lines had a life-long fascination for Gandhi. He first used them in 1904 ( CW 4: 216) to praise the heroism of an Indian soldier who had recently perished in action in Tibet, and of other Indian soldiers who had died fighting for Britain ‘during the last sixty years’.
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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 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".