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Record W3170393689 · doi:10.15173/glj.v12i2.4670

Classes of Labour in India: A Review Essay

2021· review· en· W3170393689 on OpenAlexvenueno aff
Jan Breman

Bibliographic record

VenueGlobal Labour Journal · 2021
Typereview
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsnot available
Fundersnot available
KeywordsCasualCasteCapitalismFormalitySociologyLivelihoodClass analysisWorking classPolitical economyLabour economicsPolitical scienceEconomicsLawHistory

Abstract

fetched live from OpenAlex

From the very beginning of my writing on the regime of informality I have rejected the notion of a dichotomy between formal and informal labour relations. The fracturing solidifies a differentiated absorption in the labour process – own-account workers versus waged labourers, regular against casual employment, replacement of sedentary engagement in paid work by footloose mobility – and all of this culminating in divergent patterns of livelihood and lifestyles. It is along these lines that I have split up “informality” class-wise, following up on the contention that rather than juxtaposing the working class as an amalgamated lot, there are indeed diverse classes of labour with distinct identities. The way in which differentiation has come about cannot only be comprehended in terms of social class-based alignments but also finds expression in an axis of steep inequality. It is a ranked order taking the shape of a class–caste nexus and makes clear how corresponding trajectories of accumulation and dispossession operate in tandem. The backdrop to this essay is the process of informalisation pushed by the stakeholders of globalised capitalism from the early 1970s onwards. The shift away from the regime of formality which used to be enjoyed by a minor segment of India’s mega-workforce has in many instances ended their privileged employment, legal protection and social security, tearing up the domains in which labour moves around.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.394
Teacher spread0.357 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations11
Published2021
Admission routes1
Has abstractyes

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