Exploring the influence of CEO and chief diversity officers' relational demography on organizational diversity management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Drawing on the relational demography literature and a social identity perspective, several research propositions in which the authors postulate that demographic characteristics (e.g. gender and race) of senior leaders will influence the implementation and effectiveness of diversity management practices were presented. Specifically, the authors focus on the Chief Executive Officer/Chief Diversity Officer (CEO/CDO) dyad and explore independent and joint effects of CEO and CDO majority–minority group status on workplace diversity outcomes, outlining key identity-based and relational moderators (e.g. value threat, relational identity and leader–member exchange) of these relationships. Design/methodology/approach The literature on relational demography and leader–member exchange to develop propositions for future research was integrated. Findings This is a conceptual paper. There is no empirical data reported testing the propositions. Research limitations/implications The authors extended theory and research on relational demography by focusing on senior leaders in the organization and proposing that the influence of CEO and CDO demographic characteristics on the enactment of diversity practices may be contingent on key identity-based and relational processes. Originality/value The authors are not aware of any studies investigating how personal characteristics and relational processes relating to the CEO and CDO may influence the implementation and effectiveness of workplace diversity management practices. In a similar vein, the authors contribute to the research literatures on relational demography and social identity by extending the application of these theories to senior leaders in organizations and in relation to the work of CEOs and CDOs.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it