Bibliographic record
Abstract
Purpose The purpose of this paper is to describe the influence of the creative industries on design education in New Zealand. Design/methodology/approach A range of contemporary literature is presented to help define the term “creative industries”, and to locate this new “culture of creativity” within a wider global trend of creative cultural theory. Findings Cultural policy initiatives from Britain, Canada and New Zealand are reviewed and used to demonstrate how creative industries theory has sought to combine social, cultural and economic development. Research limitations/implications This paper is primarily concerned with recent changes to design education and the ways in which universities and polytechnics are attempting to meet the challenges of this new holistic approach to creativity and innovation. Practical implications In the final section the concept of interdisciplinary study of design is explored. This new model is developed through the example of a new interdisciplinary programme structure developed by the Wellington Institute of Technology in New Zealand. Originality/value In conclusion the concept of a “virtuous cycle” is used to describe the relationship between design education and the creative industries. This paper argues that, if this cycle continues, the creative industries will expand to become the model for a new economy based on social, cultural and economic entrepreneurship and change.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".