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Record W211465337 · doi:10.25911/5d7392fee5422

Compacts between government and the not-for-profit sector : a comparative case study of national and sub-national cross-sector policy frameworks

2014· dissertation· en· W211465337 on OpenAlexaboutno aff
John Butcher

Bibliographic record

VenueANU Open Research (Australian National University) · 2014
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsnot available
Fundersnot available
KeywordsNot for profitComparative casePublic administrationGovernment (linguistics)BusinessPolitical scienceAccounting

Abstract

fetched live from OpenAlex

Policy interest in the not-for-profit (NFP) sector has grown in step with government’s interest in leveraging the capacity of non-state players to perform service delivery functions. Once consigned to the periphery of policy-making, the NFP sector is now widely accepted as an essential player in a mixed economy of service provision. Increasingly, the achievement of public policy objectives requires working collaboratively across sector boundaries. Government’s engagement with NFP service providers has, on many occasions, been found wanting. The use of competitive tendering and contracting for the purpose of leveraging greater economic and technical efficiency, choice, responsiveness and innovation in the delivery of selected statutory public services has introduced a range of tensions, contradictions and externalities including failures to fund the full cost of service delivery, the uncertainty of year-to-year contracts, burdensome reporting and compliance requirements, and the substitution of competitive behaviours for collegiality among NFP providers. In the process, the role of NFP organisations as sources of policy advice and legitimacy were devalued. Governments around the world have attempted to regularise relations with the NFP sector through the adoption of formal cross-sector policy frameworks – or ‘compacts’. Compacts serve a number of purposes, some explicit, others implicit. Explicit purposes include the regularisation of relations between the public and third sectors by establishing agreed rules of engagement; creating pathways for investment in sector capacity and capability; and enunciating the values and behaviours required for effective cross-sector working. Implicit purposes include a desire by governments to better manage the politics of their relationships with the third sector, and a desire by the sector to re-weight its policy influence within a strongly asymmetric relationship with government. This research takes the form of a comparative multi-case study and relies upon a rich primary and secondary literature, supplemented by interviews with elite policy actors in Australia and New Zealand. It aims for a deep contextual understanding of the range of factors contributing to the spread of compacts amongst Anglo-Saxon jurisdictions. Employing Kingdon’s (1995) process streams analysis as a heuristic framework for analysis, this thesis seeks to understand why cross-sector policy frameworks have entered onto the public policy agenda in the UK, Canada, Australia and New Zealand. In Kingdon’s schema, ‘policy windows’ open when three ‘process streams’ converge: the problem stream, the policy stream and the politics stream. The prospect of any solution attaining high ‘agenda status’ can be enhanced by the efforts of ‘policy entrepreneurs’ capable of recognising and exploiting those ‘policy windows’. This study finds that in each of the jurisdictions examined, formal proposals for compacts or similar frameworks have: (a) been preceded by a broad recognition that aspects of the relationship between government and the NFP sector have become problematic; (b) been promoted within various policy communities as a feasible solution to acknowledged problems; and (c) entered onto the public policy agenda at politically propitious moments. The study found that the implementation and impact of cross-sector policy frameworks is highly variable. Nevertheless, political and policy attachment to compacts and similar frameworks appears to be on-going.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.027
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0270.026
Scholarly communication0.0200.019
Open science0.0030.016
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.245
GPT teacher head0.403
Teacher spread0.158 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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