Hampered by creation: the unintended consequences of COVID-19 policies on creative firms
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 COVID-19 pandemic abruptly interrupted operations for many industries, but in particular the live entertainment sector that was effectively forced into a global shutdown. In response, governments swooped in to keep these organisations afloat by introducing policies aimed at compensating for lost revenues and supporting other forms of activity such as creation. While these reactive measures undoubtedly provided timely and vital relief for some, this study suggests that they also induced important distortions over time. Based on interviews with circus arts managers, the results show that these policies unintendedly introduced or contributed to four main ‘asymmetries’ – outlets, customer base, structure, and talent – that now hamper creative organisations as they transition out of the pandemic. This study contributes to the emerging body of work on the unforeseen consequences of COVID-related support measures, challenges the dominant contextual approach to managing ambidexterity, and provides valuable insights for government and policy actors.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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