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Record W4399240624 · doi:10.53373/reds.2024.64.3.0169

THE MSMES. ANALYSIS FROM CORPORATE LAW, CUBAN REALITY

2024· article· fr· W4399240624 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevue Européenne du Droit Social · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicComparative International Legal Studies
Canadian institutionsCegep de Sept Iles
Fundersnot available
KeywordsCorporate lawBusinessLaw and economicsPolitical scienceLawEconomicsCorporate governance

Abstract

fetched live from OpenAlex

The article carries out an analysis of the private entrepreneur and its conversion as a Limited Liability Company in Corporate Law, how it has been introduced into the Cuban legal system from its origins, characteristics as a new economic actor, elements that distinguish MSMEs , legal nature, social order conceived for the execution of commercial activities in joint trade acts with the public company, mandated from the constitutional text of 2019, in the update of the new Cuban social economic model.The methods used were the analysis, synthesis of materials from Commercial Law to break down the information, the logical history of the stages of Corporate Law of the SRL, induction deduction to deduce and arrive at elements of value judgments, the legal exegetical, the bibliographic review of materials on MSMEs, and the legal comparison of legal norms on the constitutive process of the commercial company.The analysis of the normative regulation of the MIPYMES in Cuba, as an actor in the productive development for its contribution to the generation of jobs, in the number of companies and, for its weight in the GDP of the country.Required preferential tax treatment, facilities for access to financial credit by the Bank, entities that oversee its development and promotion, that regulate the diversity of legal forms that they adopt as businesses in the legal system such as SRL, SURL or SL in attention to the Commercial Code and substantive law, and the need to issue a Business Law, which sets out the boundaries and demarcations with the public company.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.079
GPT teacher head0.330
Teacher spread0.252 · 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