Contracting out: promise and performance Quiggin, J. (2002), Contracting out: promise and performance, Economic and Labour Relations Review, 13(1), 88–204.
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 adoption of systematic programs of competitive tendering and contracting has been encouraged by claims that such programs will generate substantial savings in the cost of providing public services. In this paper, it is argued that the benefits of competitive tendering and contracting have been overestimated, and that many of the apparent benefits actually reflect transfers rather than efficiency gains. Moreover, if arrangements for competitive tendering and contracting yield an inappropriate allocation of risk, such policies can reduce welfare.. A number of case studies are presented, along with recommendations for improvements in contracting policy. Contracting out: promise and performance The practice of contracting with private firms for the provision of public services is a very old one. For example, the transport of convicts to Australia was undertaken primarily by private contractors. However, the First Fleet was effectively a public venture, being under the direct control of Governor Philip, while the Second Fleet was controlled by the contractors, paid on a fixed rate per convict. As a result of the incentive to skimp on food and medical attention, around a quarter of the convicts in the Second Fleet died, and half were unfit for work when they arrived
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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