Young Canadians in the 2008 Federal Election Campaign: Using Facebook to Probe Perceptions of Citizenship and Participation
Bibliographic record
Abstract
Abstract.The gradual withdrawal of young voters from the active electorate is one of the strongest and most important factors in accounting for declining voter turnout in Canada and other western democracies. Because qualitative approaches may be better able to probe the reasons underlying these changing values and attitudes than traditional mass surveys, we used the popular social media site Facebook during the 2008 federal election campaign to collect data on young people's perceptions of electoral politics in the context of their civic obligations. This medium proved to be a valuable and productive research tool. Based on this project, we argue that non-voting tends to be seen as a more socially acceptable behaviour to young voters than is typically found in the thinking of older cohorts, and that this may be connected to changing concepts of the obligations of citizenship. Résumé.Le désengagement graduel des jeunes électeurs est un des facteurs les plus importants pour expliquer le déclin de la participation électorale au Canada et dans les démocraties occidentales. Afin de mieux comprendre les causes de ce changement de valeurs et d'attitudes, nous avons utilisé le média socialFacebookafin de collecter des données qualitatives sur la perception des jeunes électeurs durant l'élection fédérale de 2008. Cette approche nous apparaît mieux adapter que l'approche traditionnelle caractérisée par l'utilisation de sondages d'opinion. Au terme de l'analyse, la collecte de données viaFacebooks'est avérée être une stratégie de recherche productive. En nous basant sur ces données, nous concluons que l'abstention électorale est un comportement plus socialement acceptable pour les jeunes électeurs que pour les électeurs plus âgés. Cette attitude pourrait être liée un changement conceptuel quant aux obligations associées à la citoyenneté.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".