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Record W4410901971 · doi:10.3390/admsci15060214

The Emergence of a Cooperative Amidst Economic Disruption: A Historical Narrative of Amul Coop in India

2025· article· en· W4410901971 on OpenAlexaff
Abhijit Ghosh, Abhirup Chakrabarti

Bibliographic record

VenueAdministrative Sciences · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsQueen's UniversityThompson Rivers University
Fundersnot available
KeywordsNarrativeHistoryAestheticsPolitical sciencePolitical economySociologyDevelopment economicsEconomicsLiteratureArt

Abstract

fetched live from OpenAlex

This study presents a process narrative of how cooperatives emerge during periods of economic disruption. Cooperative organizations are pluralistic and embedded in existing local economic contexts. Yet, the role that such organizations play can be pronounced when economic disruption occurs in the absence of well-established institutions to support cooperative ideology. This study uses the Structuration and Panarchy frameworks to examine the dynamics of Amul’s emergence, where individual producers organized against the existing structure of production in a period characterized by reorganization at the broader macro level. The study complements insights from economic and social perspectives while presenting a view of how individuals organize economically in the context of disruption. The narrative broadens the view of when collective action becomes possible and what explains sustained socio-economic value creation from such enterprises.

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)0.003
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 score0.024
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0190.018
Scholarly communication0.0080.005
Open science0.0020.009
Research integrity0.0020.004
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 head0.036
GPT teacher head0.306
Teacher spread0.270 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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