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Record W2033816624 · doi:10.1017/s0008423908080773

Youth Turnout: Adolescents' Attitudes in Ontario

2008· article· fr· W2033816624 on OpenAlexaffabout
Cameron D. Anderson, Elizabeth Goodyear‐Grant

Bibliographic record

VenueCanadian Journal of Political Science · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsQueen's UniversityWestern University
Fundersnot available
KeywordsTurnoutDiscountingVotingHumanitiesPolitical sciencePsychologyEconomicsPhilosophyFinance

Abstract

fetched live from OpenAlex

Abstract.The last two decades have witnessed dramatic downswings in voter turnout. Turnout decline among the youngest voters has been particularly pronounced, even discounting for normal life-cycle effects. Voting and abstention are habitual, so initial turnout decisions set the course for the life span. Consequently, greater attention to the immediate pre-adult years is necessary. This is the task we undertake using survey data on Ontario adolescents' attitudes toward voting. Résumé.Les deux dernières décennies témoignent d'un déclin dramatique de la participation électorale. Chez les plus jeunes électeurs, cette tendance s'avère particulièrement prononcée, même en tenant compte des effets habituels du cycle de vie. Le fait de voter ou de s'en abstenir sont une question d'habitude, de sorte que la décision initiale de pparticiper ou non tend à déterminer le comportement pour la vie. Il importe donc d'accorder plus d'attention aux années précédant immédiatement l'âge adulte. C'est la tâche que nous entreprenons en nous appuyant sur les données de sondages portant sur l'attitude des adolescents de l'Ontario à l'égard du vote.

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)0.001
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 score0.045
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.079
GPT teacher head0.319
Teacher spread0.240 · 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

Citations12
Published2008
Admission routes2
Has abstractyes

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