Off and running : the prospects and pitfalls of government transitions in Canada
Bibliographic record
Abstract
One of the most pivotal events in the electoral cycle is the transition of a newly elected political party from opposition to government. The incoming prime minister or premier must assemble a team of ministers, advisors, and staff that is competent and ready to govern, without disrupting the day-to-day functioning of their country or province.Off and Running sets the stage for successful transitions by describing the best practices from Canadian federal government transitions from 1984 to the present day. It draws on a number of sources: the author’s own career in public affairs, including his significant role in the transitions of both Chrétien governments in 1993 and 1997; extensive interviews with more than forty key individuals in the last eleven federal government transitions; and the international literature on government transitions, public administration, and management.Zussman goes step-by-step through the transition process from the pre-election stage to transition planning all the way to implementation and consolidation of the new government. This book is ideally suited to those seeking an understanding of how government works during one of the most crucial points in its life cycle
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".