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Record W2792945536 · doi:10.1017/s0026749x17000087

C=f(P): The trust, ‘general public utility’, and charity as a function of profit in India

2018· article· en· W2792945536 on OpenAlexaff
Ritu Birla

Bibliographic record

VenueModern Asian Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsUniversity of TorontoGlobal Affairs Canada
Fundersnot available
KeywordsCapitalismProfit (economics)VernacularLaw and economicsPublic interestEconomicsPolitical scienceSociologyLawPoliticsNeoclassical economics

Abstract

fetched live from OpenAlex

Abstract With an interest in historicizing contemporary philanthropic formations such as corporate social responsibility, this article outlines the modern Indian governmental coding of charity as a function of profit. To do so, it charts a trajectory of legal-fiscal policy on charitable tax exemption in India, especially since the 1940s. Informed by the study of vernacular capitalism, research on economization and on epistemologies of calculation, the analysis maps juridical trajectories on the idea of charity, its relationship with trade, and, more specifically, profit-making. It demonstrates how the legal mechanism of the public trust, which serves in the late nineteenth century to institutionalize a strict distinction and separation between charity and profit-making, later reconfigures and connects them by buttressing the main legal criterion for charity in India, that is, ‘general public utility’. This legal story is deployed to draw attention to philanthropy more broadly as a key terrain for research on processes of economization and neoliberal governing. At the same time, the argument also works against the grain of palimpsests in contemporary public discourse which stage a continuous and direct line from pre-colonial vernacular practices to Indian philanthropy today.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.021
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.078
GPT teacher head0.357
Teacher spread0.279 · 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
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

Citations15
Published2018
Admission routes1
Has abstractyes

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