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Record W2901907922 · doi:10.18740/ss27233

Workers and militant labour activists from Punjab in Bengal (1921-1934)

2018· article· en· W2901907922 on OpenAlexvenueno aff
Suchetana Chattopadhyay

Bibliographic record

VenueSocialist studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicColonial History and Postcolonial Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMilitantBENGALColonialismNationalismContext (archaeology)State (computer science)Gender studiesIdentity (music)Nationalist MovementPolitical scienceCapital (architecture)SociologyPolitical economyLawHistoryAncient historyPoliticsArchaeology

Abstract

fetched live from OpenAlex

Sikh migrants joined post-war strike-waves, formed unions and turned left in the 1920s and early 1930s in and around Calcutta, in the South Bengal region under British rule. To them, an unofficial commemoration of Komagata Maru’s voyage and the militancy associated with the Ghadar movement during First World War, became inseparable from contemporary resistance to the domination of colonial capital and British colonial state in India. They engaged with, worked upon and simultaneously moved beyond the boundaries of ethno-linguistic and religious identities as well as the social content of anti-colonial nationalism by focusing on a self-aware identity based on organised class action. This understanding was linked with the lived experiences of migration and imperial exploitation, the components of identity that had come to the forefront during the war. The diasporic identity of the Sikh migrant workers converged with the wider labour movement and was politically reshaped in the post-war context as livelihood issues took on the form of systematic protests in the city and beyond.

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 score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0240.007
Scholarly communication0.0030.001
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.055
GPT teacher head0.395
Teacher spread0.340 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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