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Record W1601809190 · doi:10.1017/cbo9780511558696.031

Gandhi's letter to Lord Ampthill

2011· book-chapter· en· W1601809190 on OpenAlexaff
Mohandas Gandhi

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldArts and Humanities
TopicIndian History and Philosophy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsReceiptHistoryPsychologyArtComputer science

Abstract

fetched live from OpenAlex

In this letter, Gandhi gave Lord Ampthill also a preview of HS. Upon receipt of the letter Lord and Lady Ampthill invited Gandhi for a private lunch and to discuss its contents. Unfortunately, the lunch had to be cancelled due to the sudden illness of their son. No new date was set for a lunch as Gandhi had to leave London for South Africa on 13 November 1909. (For the text of Ampthill's lunch invitation see his letters of 4.11.1909 and 7.11.1909 to Gandhi in the Sabarmati Ashram Grantalaya Collection, SN 5152 and 5165.) [Ed.] London October 30,1909 My Lord, I have for some time past been wishing to place before Your Lordship the result of my observations made here during my brief stay on the nationalist movement among my countrymen. If you will permit me to say so, I would like to say that I have been much struck by Your Lordship's candour, sincerity and honesty of which one notices nowadays such an absence among our great public men. I have noticed too that your imperialism does not blind you to matters of obvious justice and that your love of India is genuine and great. All this coupled with my desire to withhold nothing from Your Lordship regarding my own activity about Indian matters as they may have a direct or an indirect bearing on the struggle in the Transvaal, emboldens if it does not require me to inform you of what I have seen.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.080
Threshold uncertainty score0.268

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0800.022

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.

Opus teacher head0.052
GPT teacher head0.171
Teacher spread0.119 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2011
Admission routes1
Has abstractyes

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