Diversity in Leadership Among Arts Graduates: Aiming for an Inclusive Leadership
Bibliographic record
Abstract
This research explores the multiplicity of diversity based on gender, ethnicity, and age, and how it is reflected among leaders with an arts degree. They include leaders who are managers, arts administrators, curators, arts educators, theatre producers, and stage directors. In this quantitative study, the aggregated data of arts alumni, nearly 65,000 respondents from three consecutive years (2015, 2016, and 2017) from the Strategic National Arts Alumni Project (SNAAP), are analyzed using a descriptive method. The study shows that 45.7% of art alumni are in management positions, of whom 78.5% are white, and the remaining 21.5% are fairly evenly distributed among other ethnicities. Therefore, there is a lack of diversity in the positions of leadership. This paper suggests the need for inclusive leadership, in which diversity is encouraged.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".