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Record W2305906689 · doi:10.24124/c677/20151302

The 2015 Newfoundland and Labrador Election: Liberals Have a Ball as PC Party Suffers from Post-Williams Hangover

2016· article· en· W2305906689 on OpenAlexaffvenueabout
Alex Marland

Bibliographic record

VenueCanadian Political Science Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsOpposition (politics)PoliticsPolitical scienceSurpriseMandateLegislatureLiberal PartyPolitical economyPublic administrationLawSociology

Abstract

fetched live from OpenAlex

From 2003 to 2010, Premier Danny Williams maintained a tight grip on the Progressive Conservative (PC) Party of Newfoundland and Labrador and the provincial government. His chosen successor Kathy Dunderdale carried the party to a third consecutive majority government in 2011. But the new energy of her leadership masked serious cracks in the PC Party foundation. Barely two years into her mandate, Premier Dunderdale resigned, setting in motion further political instability as the party fumbled to replace her. All the while, Dwight Ball and the Liberal Party won by-election after by-election, public opinion poll after poll. That the Liberals would form the government after the 2015 general election was a certainty; that the opposition won so many seats in a smaller legislature was the surprise. Early in his tenure, Premier Williams often remarked that he was responsible for cleaning up the economic mess left by the previous administration. With growing budget deficits stemming from overspending, coupled with declining offshore oil revenues, the economic problems and difficult decisions awaiting Premier Ball and the Liberal government are just as ominous.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.311
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations2
Published2016
Admission routes3
Has abstractyes

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