A Composite Index of the Creative Economy
Bibliographic record
Abstract
This article develops and presents a “Composite Indicator of the Creative Economy” (CICE). The CICE is a summary measure of an entity’s (e.g., a region’s) creative capacity or capability in three key dimensions: Innovation, Entrepreneurship and Openness. To develop the CICE we use an innovative method to determine the weights used to “add-up” the information contained in the data on the three dimensions. Our method – endogenous weighting – allows each entity (e.g., region) to have its own set of the weights, which are chosen to maximize the entity’s CICE score value. We use our endogenous weight methodology to benchmark the creative capacity of nine regions: Baden-Württemberg, Catalonia, Flanders, Lombardy, Maryland, Nord-Pas-De-Calais, Quebec, Rhône-Alpes, Scotland. Our analysis shows that Baden-Württemberg ranks highest in terms of creative capacity while Nord-Pas- De-Calais ranks lowest. Among the nine regions, Flanders ranks 3rd in creative capacity behind 2nd ranked Maryland. However, Flanders’ rank masks that its CICE score value is 25% below that of Baden-Württemberg and 11% below that of Maryland, indicating a non-trivial gap in creative capacity between Flanders and “best practice.”
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 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".