Towards a Conceptualization of Young People’s Political Engagement: A Qualitative Focus Group Study
Bibliographic record
Abstract
Disenchantment with politics and low electoral turnout does not mean young people are not engaged with politics. However, our understanding of what being ‘politically engaged’ entails is somewhat challenged by the lack of consensus concerning the definition of this particular concept. Furthermore, existing conceptualizations of political engagement and participation (offline and online) often center on a limited set of political action items, failing to realize that a person can be politically engaged but not participate in political actions. Despite attempts to understand how young people themselves define politics, there are insufficient youth specific explanations of what being politically engaged means. In the present study, focus groups including young people (18–24 years) were conducted to examine understandings of political engagement. Participants were also asked to group a set of items they considered most accurately assessed this construct. Using the results, a conceptualization is proposed taking into account young people’s definitions of political engagement; this suggests that young people consider political engagement to have emotional and cognitive dimensions but also to be conceptually distinct from political participation.
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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 | 0.018 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".