Policy in praxis: A case study of implementing Making Services Work for People
Bibliographic record
Abstract
The substantive focus of this qualitative case study was to explore, understand and describe the implementation process of a system-level change in Ministry-funded children's and developmental services in one Ontario community in response to the Making Services Work for People (MSWFP) policy. The primary questions were: What was the stated intent of the policy and the local implementation plan? What were the expectations regarding the implementation of two system features (single point of access and common tool for intake) articulated in MSWFP and the local implementation plan? How did the implementation process unfold in the case community? What crucial dynamics and elements influenced the process in general and specifically the process of implementing the two system features of interest? Data were gathered from 21 individual semi-structured interviews and from documents containing information about the policy and the implementation process. An analytic framework incorporating constructs and models presented in past implementation research, elements of systems theory, principles of social ecology, and a general theory of organized action was used to draw out, refine and relate themes and constitutive patterns from the data. The analytic and interpretive narrative describes implementation of MSWFP in the case community as a dynamic and complex process that unfolded over a number of years and involved many different agents, resources, decisions and activities. Salient themes permeating the process of implementation (expanding the boundaries of implementation, the instrument of implementation, and the human element) and other themes revealed through the application of the study's conceptual framework are highlighted in the discussion. This research contributes an intrinsic case study of one community's efforts to implement MSWFP and an instrumental case study of policy-driven systems reform and integrated access models, it expands the inventory of critical factors in implementation, and it demonstrates the utility of a layered and multi-disciplinary conceptual framework for understanding policy implementation. Though emphasizing the integration of the policy stages and the need to consider the policy process as a whole, this research demonstrates the importance of considering implementation as a distinct and significant phase of the cycle and a valuable area for scholarship.
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 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 | 0.020 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.038 | 0.026 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".