Bibliographic record
Abstract
hhe Defeat of the Pawley Government 100 M uch has been said about the instability of minority governments.While accountabUity plays a greater role-the government must acquire and maintain the support of members beyond its own party-this often comes at the expense of stability.One bad vote and the government can fall.Little did Premier Howard Pawley know in early 1988 that his relatively safe majority government would succumb to this same instability.After the 1986 election, Howard Pawley's NDP held 30 of the legislature's 57 seats.Gary Fitmon's Conservatives held 26 and Sharon Carstairs held the remaining seat as the sole liberaL The NDP selected Myrna Phillips to serve as Speaker of the House, leaving the governing party with 29 votes (the Speaker can only vote in cases of a tie).This still left the government with a two vote advantage in the House.Then, in February 1988, Laurent Desjardins, Pawley's Health Minister, resigned his seat.Pawley decided not to call a by, election immediately which left Desjardin's seat vacant and left the government with a precarious one vote advantage in the House.At the time, it was evident to most members that Jim Walding, a former Speaker and now a Pawley government backbencher, was the loosest cannon in the House.Opposition Leader Gary Filmon would later note, "I was watching him, because obviously, every time there's a vote in the House, the most likely person to defeat the government is Jim Walding."lolWalding's discontent with his Pawley government had started years earlier.He was passed over for a Cabinet position in 198 L He was later appointed Speaker and served as Speaker of the House during the French .. language crisis-an attempt by the government in 1983,84 to pass a constitutional resolution on the guarantee of French~language rights in Manitoba.The
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.016 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".