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Record W6917324523 · doi:10.57660/dpceonline.2022.1745

Immunita delle imprese e sviluppo globale. un male necessario? quando lo stato retrocede dalle politiche di sviluppo: comparare alcune suggestioni giurisprudenziali

2022· article· en· W6917324523 on OpenAlexaboutno aff

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsAlien Tort StatuteTortJurisprudenceMultinational corporationGlobalizationJurisdictionStatuteState (computer science)PoliticsOrder (exchange)

Abstract

fetched live from OpenAlex

Globalization has seen the relegation of States, leaving firm as a promoter of development. In this way, giant global companies are born. It exists a legal vacuum where firms operate outside the jurisdiction of the domestic State and within the system of weak, or weakened, rules of the host State. This space of immunity becomes a goal to be pursued through complex corporate architectures. In this institutional disorder, the Courts become the place of regulation of corporate responsibility in his supply chain. In the United States, the Alien Tort Statute has been invoked several times against multinational companies until the Nestlé case in 2021. Canadian and British jurisprudence seeks to trace corporate responsibility not only in the sensitivity of international law, but also through the tools of commercial law and tort law. The firm, therefore, outside the democratic process, stands between economic and political competition, representing an alternative pole to the public function. The essay analyzes some comparative case law experiences in order to warn about the retrocession of the state in the face of the negative externalities of the globalized economy.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0000.002
Open science0.0020.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.044
GPT teacher head0.292
Teacher spread0.248 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueIRIS Research product catalog (Sapienza University of Rome)Same topicDispute Resolution and Class ActionsFrench-language works237,207