Creative and digital industries in Nottingham: a sector analysis of Nottingham and the Creative Quarter
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
The Creative and Digital Industries is one of the fastest growing sectors in Nottingham. It is a major employer of high skill jobs that employs 7% of Nottingham’s workforce. It is a high-productivity, knowledge-intensive sector that has experienced more GVA growth since 2010 than all other sectors standard industrial sectors in the area with the exception of Information & Communications. Nottingham is developing a specialisation in the Creative and Digital Industries that is clustered in the Creative Quarter. Employment in the sector since 2015 has grown faster that most major cities including London and GVA growth is second only to London. The drivers behind this growth are the businesses which are at the intersection of the Creative Industries and the Digital Sector such as game developers, animation and video production, broadcasting, marketing agencies and even data analytics.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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