Bibliographic record
Abstract
Winner, Scholarly Writing Award, Saskatchewan Book Awards, 2023 Shortlisted, Shaughnessy Cohen Prize for Political Writing, 2023 Shortlisted, The Hill Times Best Books of 2022 An in-depth look at the political landscape of Saskatchewan from its leftist roots to its shift in recent years to the right of centre. One of the most underreported stories in Canadian politics has been the political and economic transformation of Saskatchewan. The province that was the birthplace of the CCF-NDP and democratic socialism in North America has, over the last fifty years, undergone fundamental change that has altered its identity. It is now seen as the bastion of the centre-right Saskatchewan Party, which has become one of the most dominant provincial political parties in Canada. The story of that transformation, in which the once powerful NDP has been relegated to the political margins, reaches far beyond the province itself and reflects national and global events that have shaped the province over the course of the last half century. Modern Saskatchewan politics have been less about ideology and more about the influence of issues and events since the late 1960s and the lure of populist leaders who speak to an identity rooted in the province’s history. Consistent with Saskatchewan’s history, From Left to Right presents a blend of populism, a deeply embedded spirit of independence and personal initiative, coupled with communitarian values and the constant search for a better future.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.022 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.361 | 0.250 |
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".