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Record W2599597028

Rise and Fall of Nattukottai Chettiars in Sri Lanka

2016· article· en· W2599597028 on OpenAlexaboutno aff
Venkat Subramaniam

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCeylonGreat DepressionSri lankaDevelopment economicsBusinessDepression (economics)Quarter (Canadian coin)Government (linguistics)CasteMonopolistic competitionEconomicsEconomyEconomic growthMarket economyGeographyPolitical scienceSocioeconomicsAncient historyHistoryMonopoly
DOInot available

Abstract

fetched live from OpenAlex

Nattukottai Chettiars are members of a business community from South India, expanded their money lending and other business activities into various Southeast Asian countries including Sri Lanka. In Ceylon, from the later part of the eighteenth century to first quarter of the twentieth century their businesses were in the upward trend. This rising trend came to an end with the Chetti Crisis of 1925 and the Great Depression of 1930. The monopolistic power in the money lending business, lack of sources of credit to Ceylonese, the gap between British banks and Ceylonese, caste and kinship network among their community, lower level of government controls and natural entrepreneurial skills of Chettiars were the reasons behind the growth of Chettiars in Ceylon. The uncertainty arose due to the Chetti Crisis and the Great Depression was the starting point of the downward trend of the businesses of Chettiars. Various legislations introduced by the Governments of those periods, establishment of Bank of Ceylon and other banking institutions, breach of good relationship between British banks and Chettiars and formation of national movements accelerated the fall of Chettiar businesses in Sri Lanka.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.299

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.005
GPT teacher head0.197
Teacher spread0.193 · 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 designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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