Transforming Service to Canadians: The Service Canada Model’, International Review of Administrative Sciences 73(4): 557–68
Bibliographic record
Abstract
Over the past decade, the pursuit of citizen-centred service, combined with rapid advances in information and communication technologies, has stimulated innova-tive approaches to the organizational design of governments ’ service delivery systems. Service delivery organizations in Canada and elsewhere have taken a variety of organizational forms, thereby providing a range of models for adoption or adaptation. Service Canada offers Canadians a new model for the delivery of government services. It is a one-stop, multi-channel and multi-jurisdictional initia-tive that is dedicated to delivering seamless citizen-centred service. It brings together a wide range of government programmes and services from across federal departments and other levels of government to provide citizens with integrated, easy-to-access, personalized service. This article assesses the possibili-ties that the Service Canada model presents for service transformation through integrated service delivery (ISD) and discusses political, structural, operational, managerial and cultural barriers to its implementation.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".