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Record W3216387533

A Global but not Spontaneous Firm: Co-operatives and the Solidarity Funds in Italy

2021· preprint· en· W3216387533 on OpenAlexaboutno aff
Andrea Bernardi, Cécile Berranger, Anita Mannella, Salvatore Monni, Alessio Realini

Bibliographic record

VenueRePEc: Research Papers in Economics · 2021
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityRelevance (law)Virtuous circle and vicious circleMultitudeGovernment (linguistics)Political scienceBusinessFinanceEconomicsLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

Cooperatives are increasingly being recognized as important contributors to inclusive, sustainable and fair development. However, the cooperative movement faces a multitude of challenges, including lack of access to credit. The Italian cooperative sector features an important financing tool: the solidarity funds (Fondi Mutualistici in Italian). In 1992, Law 59 established these financial institutions that are owned by the cooperative associations. By law, all co-operatives have to transfer to the mutual funds (or to the Government if they do not belong to any co-operative association) 3% of their profits. In the past 25 years, the solidarity funds have been allocating large resources creating a financial virtuous cycle that could be inspiring for other nations. The solidarity funds promote innovative and inclusive cooperative practices as well as training and university education. Examples of similar initiatives can be found in other countries, mostly where the cooperation culture is more established. In this paper we look at Canada, France and the United Kingdom to further explore the nature and relevance of mutualistic finance.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.298
Teacher spread0.265 · 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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