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Record W2100304267 · doi:10.1017/s0026749x08003831

‘Lazy’ Natives, Coolie Labour, and the Assam Tea Industry

2008· article· en· W2100304267 on OpenAlexaff
Jayeeta Sharma

Bibliographic record

VenueModern Asian Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicColonial History and Postcolonial Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsColonialismCapitalismAssameseWhite (mutation)NationalismWork (physics)GentryBusinessEconomyPolitical scienceGeographyEconomicsLawEngineeringPolitics

Abstract

fetched live from OpenAlex

Abstract This paper considers the creation of a ‘coolie’ work-force for the Assam tea industry and the local dimensions of tea plantation enterprise. While the industry has flourished through its use of migrant labour and export markets for tea, it has retained important connections with the locality. The Assam tea industry was a predominantly colonial enterprise manned by white British planters. It allowed participation, albeit in subordinate and dependent roles, by local peasants and gentry, though mainly based on the labour of migrant ‘coolies’ recruited on indentured contracts. The prominence of ‘imported’ coolie workers has obscured the significance of various local groups as well as the tea industry's importance in the local ‘imagination’. Despite the gradual development of nationalist antagonism towards the white ‘Planters' Raj’, tea enterprise retained a hallowed place for the Assamese middle classes, as tea workers continued as a racialized labouring class.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.058
GPT teacher head0.336
Teacher spread0.277 · 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 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

Citations82
Published2008
Admission routes1
Has abstractyes

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