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Record W2277040405 · doi:10.1017/cbo9780511807268.037

Economic development and moral development (1916)

2009· book-chapter· en· W2277040405 on OpenAlexaff
Anthony J. Parel

Bibliographic record

VenueCambridge University Press eBooks · 2009
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDevelopment (topology)Mathematics

Abstract

fetched live from OpenAlex

This lecture, entitled ‘Does economic progress clash with real progress?’, was delivered on 22 December 1916 to a meeting of the Muir Central College Economic Society, Allahabad. It contains Gandhi's basic ideas on economic development. Note its wide intellectual culture, quoting as it were in one breath the New Testament, Shakespeare and A. R. Wallace, the co-discoverer with Darwin of the principle of natural selection. [Ed.] When I accepted Mr. Kapildeva Malaviya's invitation to speak to you upon the subject of this evening, I was painfully conscious of my limitations. You are an economic society. You have chosen distinguished specialists for the subjects included in your syllabus for this year and the next. I seem to be the only speaker ill-fitted for the task set before him. Frankly and truly, I know very little of economics, as you naturally understand them. Only the other day, sitting at an evening meal, a civilian friend deluged me with a series of questions on my crankisms. As he proceeded in his cross-examination, I being a willing victim, he found no difficulty in discovering my gross ignorance of the matters I appeared to him to be handling with a cocksureness worthy only of a man who knows not that he knows not. To his horror and even indignation, I suppose, he found that I had not even read books on economics by such well-known authorities as Mill, Marshall, Adam Smith and a host of such other authors.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.039
GPT teacher head0.173
Teacher spread0.134 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations1
Published2009
Admission routes1
Has abstractyes

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