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Record W2143967325

Voting in Newfoundland and Labrador: Turned off by Canadian Elections? Tune in to Canadian Idol !

2009· article· en· W2143967325 on OpenAlexaffabout
Alex Marland

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPopularityVotingPoliticsFederal electionPolitical scienceTurnoutPublic administrationNational electionExploratory researchAdvertisingGeographySociologyLawBusinessSocial science
DOInot available

Abstract

fetched live from OpenAlex

NEWFOUNDLANDERS AND LABRADORIANS are among the least likely of all Canadians to vote in a federal election. By comparison, turnout in the three nearby Maritime \nprovinces regularly exceeds the national average. Yet Atlantic Canadians seem to share a common interest in supporting their own in national reality television \nprograms that allow repeat voting, usually by telephone, in elimination rounds as part of a televised talent search. \nThis article argues that there can be political undertones when Canadians vote as part of the reality television experience. The popularity of CTV’s Canadian Idol contrasts declining engagement in Canadian federal politics. Exploratory data gathered at an Idol audition in St. John’s provides preliminary insights about televoting and about young persons’ motivations for becoming contestants. This can help gauge undercurrents of political identity among Idol fans who do not participate in federal elections in Canada, particularly in Newfoundland and Labrador.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.002
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.001

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.

Opus teacher head0.025
GPT teacher head0.273
Teacher spread0.248 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2009
Admission routes2
Has abstractyes

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