Bibliographic record
Abstract
“I am not afraid to be called a politician,” declared Paul Martin Sr., defending his life’s work in politics. “Next to preaching the word of God, there is nothing nobler than to serve one’s fellow countrymen in government.” First elected to the House of Commons in 1935, Martin served in the cabinet of four prime ministers and ran for the Liberal Party leadership three times. This book examines his remarkable career as a liberal reformer and politician who tackled the issues of his day with consummate political skill and gritty determination. Cutting a broad swath through the history of twentieth-century Canada, Greg Donaghy uses extensive interviews and untapped archival sources to challenge the prevailing view of Martin as simply an ambitious Windsor ward heeler and party operator. Martin embraced a tolerant politics of compromise and accommodation that sought to unite Canadians in search of a more just and equitable world. Though some mocked his ambition and doubted his progressive politics, his resolute championing of health care and pension rights, new meanings for Canadian citizenship, and internationalism in world affairs would leave an indelible mark on Canada’s political landscape.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.082 | 0.038 |
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".