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Civic Engagement Through Mandatory Community Service: Implications of Serious Leisure

2010· article· en· W175874263 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Leisure Research · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCivic engagementPerceptionService (business)Public relationsService-learningCommunity engagementSocial engagementCommunity serviceQuality (philosophy)Social responsibilityPsychologySocial psychologySociologyPolitical sciencePoliticsBusinessMarketingPedagogy

Abstract

fetched live from OpenAlex

This study explores university students' attitudes of social responsibility and participation in volunteering, examining how these are related to prior experiences of mandatory community service in high school. Students' perceptions of the quality of their mandatory community service experience were found to be powerful predictors of their attitudes towards social responsibility, while ongoing volunteering was found to be influenced more significantly by school and community influences, most notably prior volunteer involvement. We conclude that community service experiences, when perceived as being of high quality, may engender ongoing civic engagement. We suggest that aligning mandated community service with serious leisure might increase quality of experience, and provide an avenue to experience the rewards and benefits associated with civic participation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.200
GPT teacher head0.479
Teacher spread0.278 · 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