Bibliographic record
Abstract
This is my second collection of columns and articles, a sequel to Politics, People & Potpourri, also published by McGill-Queen's University Press (MQUP) in the fall of 2009.Inside Politics seemed like an obvious choice for a title of a book along similar lines.In the years since, much has happened in the politics of Canada and Quebec, as well as to the leaders who have defined and shaped the first two decades of the 21st century in our country.In Canada, the Harper decade of Conservative rule gave way to a majority government led by Justin Trudeau and his "sunny ways" -a reference not to his own father but to the signature of another great prime minister, Sir Wilfrid Laurier, more than a century ago.The change of tone, from Stephen Harper's socially introverted personality and all-consuming message control, also marked generational change in Ottawa.Harper was born in April 1959, at the end of the Boomer Generation following the Second World War.Trudeau was born on Christmas Day in 1971, as part of Generation X. Harper was born in New Brunswick, grew up in middleclass Toronto, and gravitated to Calgary.Trudeau was born to parents who lived at 24 Sussex, was a survivor of their broken marriage, and became, as he told CBS's 60 Minutes in 2016, "a snowboard instructor ... a bouncer in a nightclub ... a whitewater river guide" and a teacher, before becoming a freshman MP from Montreal in the parliamentary class of 2008.
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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".