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Record W7112961105

Green but Not Enough: Sustainability in Canadian Corporate Governance

2019· article· W7112961105 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2019
Typearticle
Language
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityCorporate governanceShareholder resolutionShareholderStakeholderCorporate social responsibilityFiduciaryCorporationCorporate sustainabilitySustainability organizations
DOInot available

Abstract

fetched live from OpenAlex

Canadian law adopts the corporate social responsibility model of environmental sustainability. This represents a weak sustainability approach, where environmental sustainability is justified only if there is a net positive impact on a company’s long-term financial performance. Corporate law constraints, such as the duties of loyalty and care, and the oppression remedy, have not traditionally required corporations to consider sustainability. However, courts have begun to move the common law in that direction, expanding the duty owed by the board of directors from shareholders to the corporation as a whole, including a consideration of stakeholder interests. Meanwhile, securities regulators have begun requiring environmental disclosure. Institutional investors, such as pension funds, have adopted climate change policies, and shareholder proposals regularly address environmental sustainability, although both tend to adopt a weak sustainability approach. Overall, under Canadian law, environmental sustainability appears to be important only insofar as it impacts the financial performance of companies.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.770
Threshold uncertainty score0.893

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0280.014
Scholarly communication0.0100.003
Open science0.0020.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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