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Record W4226028794 · doi:10.1177/02576430211069159

Colonization through Municipalization: The Politics of Sanitation and Municipal Governance in the ‘Mofussils’ of Colonial Bengal, c. 1870–1940s

2021· article· en· W4226028794 on OpenAlexaboutno aff
Sudipto Basu

Bibliographic record

VenueStudies in History · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Economic Development in India
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismPoliticsSanitationState (computer science)Corporate governanceBENGALLocal governmentGovernment (linguistics)Power (physics)Quarter (Canadian coin)Political scienceGeographyEconomyEconomic growthPolitical economySociologyBusinessPublic administrationArchaeologyEconomicsLaw

Abstract

fetched live from OpenAlex

How does the state govern a territory which has rapidly grown to become one of the most densely populated regions of the province? How does the state account for the governance of a place which has only recently transitioned from a rural or a semi-rural tract to a town? Most importantly, how does the state govern a region where the main source of power resides with the proprietors of private enterprises? These were some of the questions the colonial state had to deal with when it was faced with the prospect of administering some of the most rapidly ‘urbanizing’ or expanding regions of Bengal. This included the industrial belt—the riparian municipalities of the districts of 24 Parganas and Hooghly—and the mining and railway junctions of Ranigunj and Asansol, which developed from the last quarter of the nineteenth century. How did their administration differ, if at all, from other mofussil municipalities which also had a semi-rural character? This article will examine these questions and try to understand how, through the process of municipalization, the colonial state was trying to control newer territories. It shall also analyse how local communities reacted to these attempts. This paper will argue that any attempt at improvement in these mofussil municipalities was hindered by a lack of understanding, on the part of the provincial government, of the local socio-economic conditions and the ineffectiveness of the local self-government in these towns.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.099
GPT teacher head0.344
Teacher spread0.245 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2021
Admission routes1
Has abstractyes

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