Voluntary organisations and public service delivery
Bibliographic record
Abstract
Voluntary Organizations and Public Sector Delivery examines how aspects of voluntary sector employment are affected by its engagement with the growing trend to the market-based outsourcing in the delivery of public services within industrialized countries. The volume draws together a team of well-recognized academic contributors from the UK, Canada, Australia and the United States to explore how the process of outsourcing is impacting the internal and external labor markets of voluntary organizations, and the implications for the policy objectives underlying the externalization of the delivery of public services to them. These themes of change in employment are covered in depth in the UK with dedicated chapters exploring, workforce patterns and skill needs, HR policies and practices, recruitment and selection, graduate recruitment, unionization, pay and conditions and psychological contracts in organizations. The book also contains a significant international comparative dimension with individual chapter analysis of employment issues in Australia, Canada and the United States, as well as an Anglo-German comparison
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".