Bibliographic record
Abstract
The new integrated global environment has resulted in a paradigm shift from the nation-state to the international community as a driver of change, an unprecedented degree and speed of change, the replacement of single policy issues with cross-cutting ones and a demand by citizens for improved service delivery. In response, governments are creating alternative service delivery (ASD) arrangements. Jurisdictions using ASD can be placed on a continuum of organizational change. There are slow starters in which all service delivery is state-owned, operated and designed around government needs. There are structural changers that pursue a formulaic approach to organizational change. Finally, there are transformational changers that take a principles-based case-by-case approach to organizational renewal, ensuring that each initiative responds to the particular challenge of the nation and its entities. In Canada, the Policy on Alternative Service Delivery provides guidance for jurisdictions contemplating organizational change with the Public Interest Test. This article will examine the role that organizational change plays in countries that are implementing major governmental change initiatives. It will review the influence of an increasingly integrated global environment on government change and examine how ASD can act as an organizational response to this environment. It will look at the governance issues that countries face when implementing ASD and propose a typology for classifying countries as change agents. Finally, it will reference a principles-based approach for implementing organizational change through ASD that is being implemented in Canada.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".