Public management in an age of complexity: regional economic development in Canada
Bibliographic record
Abstract
Purpose This paper aims to analyze the opportunities and challenges of public policy governance in industrialized democracies in the context of a globally integrated economy on the one hand and institutional decentralization on the other. The implications of these transitions suggest the need for horizontal collaboration and coordination between policy stakeholders (domestic and international) as well as among agencies across various levels of government. The case of regional economic development policy governance in Canada over the past two decades illustrates some of the complexities of public, private and community partnerships in policy governance as the country seeks to maintain and enlarge its niche in the global economy. Design/methodology/approach Data were collected through content analysis of policy and program documents relating to regional economic development in Canada, as well as in‐depth interviews of about 15 public officials directly involved in the administration of the policy. Findings The comparative analysis of regional economic development policy governance in two Canadian provinces over the past two decades illustrates some of the complexities of public, private and community partnerships in policy governance as the country seeks to maintain and enlarge its niche in the global economy. Originality/value The paper is based on an original research undertaken by the author and raises critical questions about the changing context of public management in an age of increasing globalization of economies and societies. It also addresses the distinct challenges of managing multi‐level systems in the face of the added complexities brought about by global integration.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.023 | 0.009 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".