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Record W7034066292

Social Enterprise Law: A Multijurisdictional Comparative Review

2023· article· en· W7034066292 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2023
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsSocial enterpriseSocial businessCorporationShareholderSocial entrepreneurshipSocial economyFree enterpriseState (computer science)SubsidyCertification
DOInot available

Abstract

fetched live from OpenAlex

The concept of the social enterprise has gained considerable attention in a limited number of jurisdictions. In the United States, hybrid social enterprise forms, including Delaware’s public benefit corporation, the benefit corporation in over three dozen states, and the private B Corp certification offered by the nonprofit B Lab, have become prominent challenges to the long tradition of shareholder capitalism. In the United Kingdom, Community Interest Companies can benefit from public subsidies in the form of tax preferences. In others, like Germany, a robust welfare state has caused social enterprise to spread much less quickly.This volume looks beyond well-known examples of social enterprise to find that—to paraphrase Shakespeare—there are more forms of business enterprise than are dreamt of in our theory of the firm. Cooperatives, for example, play an important role in jurisdictions ranging from Colombia—where one of the country’s largest drugstores is owned by a cooperative—to Singapore, which introduced cooperatives in 1925 under British rule. Drawing on the rich cooperative traditions in Europe, jurisdictions across the EU now offer specialised social cooperative forms.This volume brings together experts on jurisdictions ranging from Belgium and Dubai to Switzerland and Taiwan, to describe the traditional and innovative structures employed by entrepreneurs to combine aspects of for-profit business with a broader societal purpose. Together, they draw a clear picture of what social enterprise has come to mean, both where conventional business enterprises prioritise the common good and where such an approach would be disfavoured.The volume also examines the wide range of measures taken by state actors to regulate social enterprises. In those jurisdictions in which the state provides support for social enterprise, the volume details the conditions that ventures must meet to receive and retain that support. The reports also describe an array of specialised legal forms and certification regimes offered by state and private actors and consider their impact.Offering an unprecedented perspective, this volume’s insights will inspire opportunities for innovation both by entrepreneurs themselves and by others in the private and public sectors determined to disrupt business law, thus making this area of law more responsive to the concerns of a diverse group of stakeholders. In particular, it presents evidence that the absence of restraints on the distribution of profits or residual assets of a venture tends to limit the availability of tax or other incentives. The British Columbia, Canadian benefit company, the Peruvian B.I.C. and the US benefit corporation offer telling examples of an absence of distribution constraints paired with little to no regulatory oversight and virtually no public subsidies.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.013
Science and technology studies0.0050.011
Scholarly communication0.0070.011
Open science0.0010.004
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0070.002

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 head0.056
GPT teacher head0.370
Teacher spread0.314 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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