Privatizing Responsibility: Public Sector Reform under Neoliberal Government
Bibliographic record
Abstract
À la lumière des réformes du secteur public au Canada et ailleurs, l'auteure se concentre sur le déplacement des priorités des responsabilités sociales vers les responsabilités privées et soulève de nouvelles questions sur les forces de l'entreprise privée et des partenariats reposant sur les mécanismes du marché. D'après elle, dans les programmes néo‐libéraux du gouvernement, laresponsabilité de la privatisationest liée à trois principaux aménagements : la reconsidération des relations entre le public et le privé; la mobilisation de l'esprit de civisme; et la création d'une mentalité culturelle d'observance de la règle allant de pair avec ces transformations. La recherche qui a été effectuée pour cet article s'est fondée sur l'analyse à grande échelle de documents de politique et d'initiatives de réforme du secteur public, de même que sur des interviews de fonctionnaires fédéraux canadiens. In light of public sector reforms in Canada and elsewhere, this paper focuses on the shift of emphasis from social to private responsibilities and raises new questions about the forces of private enterprise and market‐based partnerships. Under neoliberal governmental agendas,privatizing responsibilitylinks to three main developments: the reconsideration of the relations of public and private; the mobilization of responsible citizenship; and the formation of a cultural mentality of rule that works alongside these developments. The research for this article is based on extensive analysis of policy documents and public sector reform initiatives, as well as interviews with Canadian federal public service employees.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.035 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".