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Record W4210812244 · doi:10.25518/ciriec.wp202101

A Global but not Spontaneous Firm

2021· report· en· W4210812244 on OpenAlexaboutno aff
Andrea Bernardia, Cécile Berranger, Anita Mannella, Salvatore Monni, Alessio Realini

Bibliographic record

VenueWorking paper/Working paper CIRIEC ... · 2021
Typereport
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityRelevance (law)MultitudeVirtuous circle and vicious circleGovernment (linguistics)Political scienceBusinessFinancePublic relationsEconomicsLawPolitics

Abstract

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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 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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0090.005
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0170.003

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 head0.043
GPT teacher head0.249
Teacher spread0.206 · 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 designTheoretical or conceptual
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

Citations1
Published2021
Admission routes1
Has abstractyes

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