‘The show must go on!’: Hustling through the compounded precarity of Covid-19 in the creative industries
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 article offers a qualitative examination of compounded precarity in creative work during the Covid-19 pandemic. Drawing on repeated in-depth interviews with twelve creative workers operating in the creative industries in Ghana, we examine one of the most prevalent practices for navigating, coping with, and managing compounded precarity: that of hustling. We empirically identify and discuss three interrelated practices of hustling in creative work: digitalization, diversification, and social engagement. We present a new way of conceptualizing creative work in precarious geographies by theorizing hustling, and the associated worker resourcefulness, improvisation, savviness, hopefulness, and caring not merely as an individualized survival strategy, but rather as an agentic and ethical effort to turn the vicissitudes of life into situated advantages and opportunities, and even social 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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it