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Record W3126423890 · doi:10.25360/01-2021-00002

Urbanizing Uttarpara: Philanthropy, Improvement, Education, c.1846 to c.1865

2021· book· en· W3126423890 on OpenAlexaboutno aff
Akash Bhattacharya

Bibliographic record

Venueperspectivia.net · 2021
Typebook
Languageen
FieldSocial Sciences
TopicSocial and Economic Development in India
Canadian institutionsnot available
Fundersnot available
KeywordsUrbanizationGeographyEliteSettlement (finance)Quarter (Canadian coin)Economic growthEconomySocioeconomicsSociologyPolitical scienceArchaeologyBusinessEconomics

Abstract

fetched live from OpenAlex

This paper examines the causes and patterns of urbanization in nineteenth-century Uttarpara, one of the eight west bank municipalities near the city of Calcutta (present-day Kolkata) in eastern India. The focus is on the early years of its transformation from a cluster of hamlets in the northern corner (uttar means north and pārā refers to a locality) of a village called Bally into a place of steady nagarāyan (urbanization). In 1846, an English medium school was established in Uttarpara and a bridge was built connecting Uttarpara with Bally. The urbanizing aspirations of the local landholding elite led to the physical and social transformation of Uttarpara in the ensuing years, producing a municipality in 1853 and consolidating the demographic and social power of the Bengali urban middle class (bhadralok) over the space of the erstwhile gandagrām (obscure village). This paper analyses the nature of these changes and argues that under conditions produced by the Permanent Settlement of 1793, Uttarpara’s nagarāyan crystallized out of the interconnected operations of philanthropic capital in agriculture and education. In the process, Uttarpara emerged, towards the end of the century, as a municipal town that was not yet convincingly urban — a ‘fluid space’ with finely calibrated relationships with the metropolis on the one hand and the rural hinterland on the other.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.022
GPT teacher head0.304
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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