Bibliographic record
Abstract
Rodney MacDonald, the youngest premier in Nova Scotia’s history, made an election call on May 13, 2006. He had been the leader of the Progressive Conservative party for only three months, but was certainly no rookie politician. He was elected to the legislature first in 1999 and went on to hold several cabinet portfolios in John Hamm’s government, including immigration and tourism. Not quite three years had passed since the last provincial election in 2003, but MacDonald was eager to try to upgrade the PC minority government to a majority and to establish a mandate for himself as leader of the province. When all was said and done exactly one month later, MacDonald ended up with two seats fewer than he had at dissolution. The New Democrats were the clear winners, picking up five seats, while the Liberals slipped by one. The results were no surprise to political pundits and seemed to confirm the durability of Nova Scotia’s three-party system. In this brief article, I review the events and issues that defined the 2006 campaign.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".