Bibliographic record
Abstract
As I put the finishing touches on this book in the late fall of 2013, the prime minister has been playing both offence and defence.He completed a major shuffle of his Cabinet in July and, in mid-October, delivered a Speech from the Throne and announced the signing of the Canada-European Union Free Trade Agreement.He hopes all this will allow his Conservative government to rebound in the polls and attain a second majority mandate in the next election.For the first time since forming the government in 2006, the prime minister is dogged by problems that have hurt his popularity, as well as that of his government.While he still retains credit for Canada's economic performance through the depression/recession, there is discontent with his governing style, the ever-simmering Senate expense scandal, which has resulted in the suspension of three former Conservative senators, and a lack of policy direction.The two main opposition parties, the NDP and the Liberals, have settled on new leaders who will take them into the 2015 election.(Although an election could be called before 2015, there must be one in 2015 at the latest, so I've chosen to use that year throughout when referring to the next election.)The concluding chapter of this book attempts to set out these issues and describe new directions for the government as it tries to gain back the initiative held almost without a break since 2006.However, this work is not about the destination, but rather the journey of the federal conservative movement represented by the Progressive Conservative Party, the Reform and Alliance parties, and finally the Conservative Party of Canada over the past twenty years from opposition to government, and then the exercise of the levers of government.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.521 | 0.386 |
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".