Bibliographic record
Abstract
Second Edition he last two decades have been a turbulent time in Canadian politics.When Brian Mulroney won a second majority government in 1988, he seemed to establish a Progressive Conservative dynasty.But only five years later his party lay in ruins, having elected only two members to the House of Commons in the 1993 election, partly because the Reform Party and the Bloc Quebecois had siphoned off so much Progressive Conservative support.The Liberals then governed for thirteen years while the parties of the right tried to put Humpty Dumpty together again.First the Reform Party morphed into the Canadian Alliance (1999), then Stephen Harper and Peter MacKay merged the Alliance and the Progressive Conservatives to form the Conservative Party of Canada (2003).The new party led by Harper brought the Liberals down to a minority government in 2004, won its own minority government in 2006, and increased its margin, though still falling shy of a majority, in 2008.It's anyone's guess what will happen politically in the next few years as Canada struggles with the world recession that also began in 2008.Having worked closely with Reform leader Preston Manning for two years (1991-92) and Conservative leader Stephen Harper for five (2001-06), I had an excellent view of what was happening on the conservative side of Canadian politics.I shared what I had seen by writing two books, Waiting for the Wave: The Reform Party and Preston Manning (1995) and Harper's Team: Behind the Scenes in the Conservative Rise to PowerT x Preface to the Second Edition
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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.653 | 0.524 |
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".