Agents of casualization? The temporary staffing industry and labour market restructuring in Australia
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
This article presents a study of the Australian temporary staffing industry. It explores how temporary staffing markets are manufactured through the interactions between industrial relations and regulatory systems, on the one hand, and the structures and strategies of domestic and transnational temporary staffing agencies on the other. The article draws on secondary datasets and semi-structured interviews with government departments, labour unions, staffing agencies and their trade bodies to analyse the size, structure and characteristics of the Australian temporary staffing market. It argues that the Australian market differs in important ways from those other ‘neoliberal’ labour market regimes—such as those in Canada, UK and USA—with which it is often compared. The article argues for an approach that seeks to explore the (often gradual) mutual transformation of temporary staffing organizations and the institutional and regulatory systems in which they are embedded, rather than privileging one at the expense of the other.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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