Moving towards integrated public governance: improving service delivery through community engagement
Bibliographic record
Abstract
Community engagement for improved citizen-centred service is an important dimension of Integrated Service Delivery (ISD), which is in turn a central component of the movement towards Integrated Public Governance. The experience of such organizations as Centrelink and Service Canada can inform thinking and action on the community engagement activities of ISD organizations in general. Most of these organizations are at an early stage in the use of innovative approaches to community engagement, but many of them are well positioned to use their physical presence in local offices across their jurisdiction to enhance service delivery. This article examines eight ISD organizations in four countries as a basis for discussing such matters as the benefits and challenges of community engagement, the nature of the engagement, and the means by which these organizations have fostered it. For ISD organizations to leverage their community presence, they must collaborate with a wide variety of community stakeholders. Points for practitioners Integrated Service Delivery (ISD) organizations can leverage their physical presence in local communities to improve service for individual citizens. This community engagement activity can take the form of partnerships, consultations and contracts. The corporate level can support community engagement through administrative structures and processes and through training opportunities and learning tools. Each local office needs an appropriate measure of discretion and flexibility to adapt its engagement activities to the community's particular challenges and resources. The movement in public management towards Integrated Public Governance and the anticipated increase in the delivery of government services by private and third sector organizations point to the need for collaborative community engagement. There are significant barriers as well as benefits associated with the community engagement activities of ISD organizations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.019 | 0.018 |
| Open science | 0.002 | 0.030 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".