Social Impact Bonds: The Next Phase of Third Sector Marketization?
Bibliographic record
Abstract
<p>The politics of austerity has pushed the third sector to the centre of attention as governments turn to non-governmental institutions to pick up the social deficits created by economic recession and the state’s retreat from social provision. Some governments have begun supporting alternative service funding through such innovations as social impact bonds (SIBs), a financial product used to encourage the upfront investment of project-oriented service delivery. This paper provides a clearer understanding of what SIBs are and traces their emergence within Canada while linking them to their cross national origins. SIBs are situated conceptually within broader contemporary developments within the non-profit sector, particularly the agenda of public sector reform and third sector marketization. The analysis focuses on the potential impact of SIBs on non-profit policy voice and capacity to represent and meet diverse community needs as it is this function that to a significant degree defines the third sector’s ability to be innovative.</p>
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".