Bibliographic record
Abstract
In the 2006 and 2010 New Brunswick provincial elections, power changed hands as control of the government went from Progressive Conservative to Liberal (2006) and back to Progressive Conservative (2010). The 2014 election found Premier David Alward attempting to return an incumbent party to the government benches for the first time since Bernard Lord in 2003. Alward faced three new party leaders in Liberal Brian Gallant, New Democrat Dominic Cardy and the Green’s David Coon. Early polls predicted a Liberal landslide but the margin would close as Election Day approached with the Liberal earning a small 27 to 21 seat majority over the PC Party with Coon winning the first Green seat in the province and Cardy’s NDP being shutout. With the results, New Brunswick would find itself with another under-forty premier, Gallant was 32 years old when sworn-in, and a vacancy in the Progressive Conservative leadership as Alward swiftly stepped down after his party’s defeat. The election reflected another example of New Brunswick’s current turnstile party system with the two major parties differing on few issues and struggling to find electoral momentum in a stubborn provincial economy stymied by structural demographic challenges.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".