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Bringing About Changes to Corporate Social Policy through Shareholder Activism: Filers, Issues, Targets, and Success

2009· article· en· W1977578241 on OpenAlexaff
Miguel Jauregui Rojas, Bouchra M’Zali, Marie‐France Turcotte, Philip Merrigan

Bibliographic record

VenueBusiness and Society Review · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversité du QuébecUniversité du Québec à Montréal
Fundersnot available
KeywordsShareholderBusinessDiversity (politics)CommissionAccountingPensionCorporate governanceFinanceLawPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT We examine shareholder initiated social policy proposals' capacity to exert pressure on management to force it to adopt the suggested changes in policy. We show that social proposals, filed under the U.S. Securities and Exchange Commission's Rule 14a‐8, have a more limited capacity to change corporate social policy than it has been previously reported. However, the capacity to exert pressure on firms can be substantially higher for some types of filers, notably pension funds and mutual funds. The analysis also suggests that the capacity to influence management is higher for some types of issues presented in the resolution, such as those related to board diversity, energy and environment, and international laborand human rights. We also provide suggestions explaining why shareholder activism is a persistent practice despite its limited results.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.311
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
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

Citations60
Published2009
Admission routes1
Has abstractyes

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