Diversity in the Boardroom: A Content Analysis of Corporate Proxy Disclosures
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».