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Record W31163259 · doi:10.58948/2331-3536.1333

Diversity in the Boardroom: A Content Analysis of Corporate Proxy Disclosures

2014· article· en· W31163259 on OpenAlexaff
Aaron A. Dhir

Bibliographic record

VenuePace international law review · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsYork University
Fundersnot available
KeywordsNorwegianArgument (complex analysis)PrudenceLawAccountingProxy (statistics)LegislationCorporate lawCapitalizationBusinessCorporate governanceLaw and economicsEconomicsPolitical scienceFinance

Abstract

fetched live from OpenAlex

My work in this field has focused on regulation by quota and regulation by disclosure. With regard to quotas, strikingly, the Norwegian law is not located in regulation that explicitly deals with human rights or equality issues; rather, it is found in the heart of the legal regime that gives life and personality to corporations – in Norwegian corporate law. I have conducted qualitative, interview-based research with Norwegian corporate directors, both men and women. It is only through understanding how the goals of the law have translated into the day-to-day existence of these individuals that we can begin to consider the “big picture” questions that accompany the quota-based approach. With regard to disclosure, I have chosen to focus on the U.S. as a second case study for four principal reasons. First, similar to the Norwegian law, the site that houses the U.S. rule is noteworthy. Once again, it is not found in regulation that focuses on anti-discrimination etc…; rather, it is located in the heart of the legal regime that governs the public issuance of shares – in U.S. securities law. Second, and related to the first, the U.S. rule (like the Norwegian law) has been controversial, painted by some as an unjustified intervention into market terrain and as being in tension with the underlying purpose of securities regulation. Third, quite simply, U.S. markets represent the biggest share of overall global market capitalization. Fourth, I am mindful of the argument of scholars such as Schuck that there is something special – something unique –about the U.S.’s historical engagement with the idea of diversity. My inquiry into the U.S. approach, using the diversity disclosure rule promulgated by the SEC, begins with an overview of its conceptual underpinnings. I then explore reactions to the rule and consider whether, in promulgating it, the SEC acted reasonably, or if it strayed significantly from its mandate. From there, I use a mixed-method, qualitative–quantitative content analysis to investigate the micro-dynamics of this approach. I take an initial temperature reading of corporate articulations of diversity under the first years of the rule. These articulations are particularly fascinating given that the SEC does not provide firms with a definition of the term “diversity”. The specific results of my study are forthcoming. Overall, it establishes that the concept of diversity carries multiple connotations for U.S. corporations. However, perhaps its most salient finding is that, when left to their own devices (i.e. in the absence of regulatory guidance), firms most frequently think in experiential terms and focus on a director’s prior experience, or knowledge and skills — rather than in socio-demographic terms with an eye to gender or racial diversity. As I have reported elsewhere, only approximately half of firms in my sample fell into the latter camp.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.082
GPT teacher head0.266
Teacher spread0.184 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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