Sceptics or supporters? Consumers’ views of work in the gig economy
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
Labour‐management practices and workers’ experiences in the gig economy are topics of major interest for researchers, regulators and the general public. Platform companies project a vision of gig workers as autonomous freelancers, but pervasive features of their own labour practices, along with workers’ traits, create new vulnerabilities and risks. Efforts to improve gig workers’ conditions to date have made in‐roads without achieving a general shift in platforms’ practices or gig workers’ conditions. In this paper, we explore how another, less‐recognised stakeholder group—consumers—shapes the conditions of gig work. Drawing on Australian public opinion data, we study consumers’ views of the gig economy and ask whether these will help or hinder pro‐worker campaigns. While consumers are sympathetic to gig workers’ financial plight, they also see benefits in the work’s flexibility and opportunities for jobseekers. We explain how our findings can inform advocacy campaigns and further gig economy research.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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