Attachment to Community and Civic and Political Engagement: A Case Study of Students
Bibliographic record
Abstract
Youth's low level of civic and political engagement may detrimentally affect the health of communities and the democratic system. This paper examines the role of community attachment in explaining youth's levels of civic and engagement. This examination requires an evaluation of existing measures of community attachment and their relevance for understanding youth's experiences. The paper uses a student sample, highlighting a group of youth who have a degree of variation in their experiences of community attachment. We find that subjective measures of community attachment are related to volunteering and voting, but the objective measure of community attachment, that is, years of residence, affects voting and not volunteering. Different mechanisms explain civic engagement versus political engagement. As such, different strategies are required to combat low levels of civic versus political engagement. Le manque d'engagement civique et politique de la jeunesse peut avoir un effet néfaste sur la santé des communautés et sur le système démocratique. Cet article examine le rôle de l'appartenance communautaire pour expliquer le niveau de participation civique et politique des jeunes. Cette recherche nécessite une évaluation des mesures existantes de l'appartenance à une communauté et de leur pertinence pour la compréhension des expériences des jeunes. Cet article se base sur un groupe d'étudiants pour illustrer une population de jeunes avec un niveau d'attachement communautaire variable. Nous avons remarqué que les mesures subjectives de l'attachement à la communauté sont liées au bénévolat et au vote, alors que les mesures objectives de l'attachement, comme la durée de résidence, affecte le vote et non le bénévolat. De différents processus peuvent expliquer l'engagement civique par rapport à l'engagement politique. Ainsi, des stratégies différentes sont nécessaires pour lutter contre la faiblesse des niveaux de participation civique et politique.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".