Bibliographic record
Abstract
With the direct participation of partisan political staff in governance, the onset of permanent election campaigns heavily dependent on negative advertising, and the expectation that the public service will not only merely implement but enthusiastically support the agenda of the elected government, we are experiencing a new form of political governance. The late Peter Aucoin (1943-2011) has argued that traditional norms of impartial loyalty have been displaced by partisanship on the part of civil servants and that the political executive is keen on directly controlling all aspects of communication and interaction between government and citizens. The arrival of "New Political Governance" has a direct bearing on the long-standing tension between the need of ensuring democratic control over bureaucracy, while also allowing the public service sufficient flexibility to exercise discretion, judgment, and professional expertise when implementing and managing programs. Through a series of essays using Aucoin's "New Political Governance" framework, leading scholars in the field address the manner in which this tension and its conflicts have played out over the past decade in different domains. Contributors examine themes including accountability, democracy, public management and reform, the paradoxes of electoral democracy, and the dilemmas of democratic governance. Contributors include: Mark Jarvis (University of Victoria), Herman Bakvis (University of Victoria), B. Guy Peters (University of Pittsburg), Donald Savoie (Université de Moncton), Allan Tupper (University of British Columbia), Lori Turnbull (Dalhousie), David E. Smith (University of Saskatchewan), C.E.S. Franks (Queen's), R. Kenneth Carty (University of British Columbia), Lisa Young (University of Calgary), Jennifer Smith (Dalhousie), Gerald Baier (University of British Columbia), Fred Fletcher (York University), André Blais (Université de Montréal), Evert Lindquist (University of Victoria), Ken Rasmussen (University of Regina), Jonathan Boston (Victoria University), John Halligan (University of Canberra), Grace Skogstad (University of Toronto), Jenn Wallner (University of Ottawa), Cosmo Howard (University of Victoria), Susan Phillips (Carleton University), Paul Thomas (University of Manitoba), Ralph Heintzman (University of Ottawa), Luc Juillet (University of Ottawa), G. Bruce Doern (Carleton), Kenneth Kernaghan (Brock).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".