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Record W3130100710 · doi:10.4324/9781003145509

Migration, Workers, and Fundamental Freedoms

2021· book· en· W3130100710 on OpenAlexaff
Asha Hans, Kalpana Kannabirān, Manoranjan Mohanty, Pushpendra Pushpendra

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsMcGill University
FundersLondon School of Economics and Political ScienceUNICEFMichael and Susan Dell FoundationBill and Melinda Gates Foundation
KeywordsBusinessLaw and economicsPolitical scienceSociology

Abstract

fetched live from OpenAlex

The COVID-19 pandemic resulted in a mass exodus of India’s migrant workers from the cities back to the villages. This book explores the social conditions and concerns around health, labour, migration, and gender that were thrown up as a result of this forced migration. The book examines the failings of the public health systems and the state response to address the humanitarian crisis which unfolded in the middle of the pandemic. It highlights how the pandemic-lockdown disproportionately affected marginalised social groups – Dalits and the Adivasi communities, women and Muslim workers. The book reflects on the socio-economic vulnerabilities of migrant workers, their rights to dignity, questions around citizenship, and the need for robust systems of democratic and constitutional accountability. The chapters also critically look at the gendered vulnerabilities of women and non-cis persons in both public and private spaces, the exacerbation of social stratification and prejudices, incidents of intimidation by the administration and the police forces, and proposed labour reforms which might create greater insecurities for migrant workers. This important and timely book will be of great interest to researchers and students of sociology, public policy, development studies, gender studies, labour and economics, and law.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.354
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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
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

Citations12
Published2021
Admission routes1
Has abstractyes

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