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Record W6899286421 · doi:10.58112/jbl.26-1.5

The Corporation in an Age of Divisiveness

2024· article· en· W6899286421 on OpenAlexaff

Bibliographic record

VenueeYLS (Yale Law School) · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsMcGill University
Fundersnot available
KeywordsCorporationPoliticsDeliberationCorporate governanceIntervention (counseling)Democracy

Abstract

fetched live from OpenAlex

The debate around the public purpose of the corporation is not a new one. But it has flared up again recently due to widespread critique of deepening socio-economic inequality, corporate inequities regarding gender and race and the seeming inability of governments and businesses alike to adequately address the catastrophic impact of climate change. As the corporation holds a firmly established place in the universe of economic and financial affairs, it – like the markets in which it operates – is is typically depicted as a private affair. Any regulation of the corporation, thus, tends to be critiqued as an unjustified intervention into an economic sphere that should better be left to its own devices. This paper interrogates these claims against the historic evidence of corporate law’ and corporate theory’s trajectories throughout the twentieth century into the present. What this account teaches us is that the designation of ‘corporate purpose’ and our relation to it comes down to political choices. The reputational crisis of the corporation, then, is an opportunity for democratic deliberation and engagement.

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)0.010
metaresearch head score (Gemma)0.019
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: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0180.072
Scholarly communication0.0290.025
Open science0.0020.011
Research integrity0.0090.015
Insufficient payload (model declined to judge)0.0060.001

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 head0.023
GPT teacher head0.243
Teacher spread0.220 · 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
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
Published2024
Admission routes1
Has abstractyes

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