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Record W2995072367 · doi:10.22329/wyaj.v36i0.6068

The Global Social Enterprise Lawmaking Phenomenon: State Initiatives on Purpose, Capital, and Taxation

2019· article· en· W2995072367 on OpenAlexaffvenue
Carol Liao, Elsir U. Tawfik, Pat Teichreb

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLawmakingLegislationBusinessState (computer science)Public relationsPublic administrationPolitical scienceLegislatureLaw

Abstract

fetched live from OpenAlex

New laws designed to foster and govern social enterprises are propagating throughout the world. Beyond American initiatives, relatively little has been written to date on the global contagion of lawmaking to address the burgeoning field of social enterprise. Increased corporate lobbying to transplant American “benefit” corporation legislation into other countries, with little sensitivity towards existing legal ecosystems in those nations, has generated an urgency to broaden the literature and unearth the wide range of social enterprise law initiatives occurring across the globe. This article identifies over 40 state initiatives across 30 countries to distinguish this international movement. Critical thematic issues are identified from the available data, in hopes of shifting the focus away from private American interests in non-US countries and adding new knowledge to the development of social enterprise law and policies in the years ahead. This article begins by detailing various ways in which states have defined the purpose of social enterprise and social enterprise-type businesses, including how jurisdictions have experimented between state-run certifications and separate corporate legal structures to meet growing demands from particular sectors and stakeholders. We find that most jurisdictions require social enterprises to have a specific social purpose designed to serve the targeted needs of specific sectors, marginalized groups, and/or vulnerable communities. Next, we examine how new state legislation has sought to ease or restrict capital access for these social enterprises. Finally, we provide a detailed overview of various tax initiatives explored by states to promote and foster social enterprises. We suggest that lawmakers proceed with caution in the development of social enterprise laws, particularly when they are in response to private interest groups, and engage in fulsome discussions on the range of available legal methods to foster social enterprise within their jurisdictions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.504

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.271
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2019
Admission routes2
Has abstractyes

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