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Record W4416155378 · doi:10.3138/cpp.2025-017

From Legitimacy to Leadership: A Comparative Analysis of Environmental, Social, and Governance Reports from the World's Largest Private Equity Firms

2025· article· en· W4416155378 on OpenAlexaffvenueabout
Majid Mirza, Farhan Sayeed, Naeem A. Abbasi, Jeff Wilson, Olaf Weber

Bibliographic record

VenueCanadian Public Policy · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSustainable Finance and Green Bonds
Canadian institutionsAgriculture and Agri-Food CanadaYork UniversityUniversity of Waterloo
Fundersnot available
KeywordsLegitimacyCorporate governanceEquity (law)Civil servantsHappening

Abstract

fetched live from OpenAlex

L'industrie des capitaux privés, qui dépasse les 14 milliards de dollars d'actifs sous gestion dans le monde, est bien placée pour contribuer aux objectifs de développement durable (ODD) des Nations unies. Les auteurs analysent les rapports environnementaux, sociaux et de gouvernance de 33 entreprises de capitaux privés en 2020, y compris Brookfield Asset Management, la plus grande entreprise de capitaux privés au Canada. Ils examinent les ODD les plus populaires (particulièrement l'ODD-13, l'action climatique), les tendances géographiques et industrielles, les modes d'intégration des ODD et la comparaison entre Brookfield et l'ensemble du groupe. Les résultats ont révélé que les entreprises de capitaux privés ont neuf façons d'intégrer les ODD à leurs processus d'investissement. Brookfield déclare un fort engagement envers l'ODD-13 et souligne régulièrement les facteurs climatiques à une plus grande fréquence que les autres entreprises. Bien que les rapports de certaines entreprises incluent les placements de portefeuille respectueux des ODD, dans bien des cas, rien ne démontre qu'ils ont été retenus de manière intentionnelle avant les investissements.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.290
Teacher spread0.213 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

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