MétaCan
Menu
Back to cohort
Record W3197126818

Impact of Youth Service Program Design on Youth Engagement, Communities and Organizations

2021· dissertation· en· W3197126818 on OpenAlexaboutno aff
Aleksandra Spasevski

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsPositive Youth DevelopmentService (business)Public relationsYouth engagementCommunity engagementPolitical sciencePsychologyBusinessDevelopmental psychologyMarketing
DOInot available

Abstract

fetched live from OpenAlex

Youth service and volunteerism support healthy development and financial prosperity for youth while providing solutions to community issues. Previous studies have highlighted that engaging youth in intergenerational collaboration is valuable for providing unique and innovative organizational solutions. Fostering intergenerational collaboration within organizations can lead to capacity building and increase the efficacy of their sustainability solutions. However, many organizations and programs overlook potential contributions that youth could provide in enhancing the overall impact on communities and the organizations themselves. Furthermore, there is little understanding on how to improve intergenerational collaboration in organizations that host youth service programs. The purpose of this study is to explore youth (15 - 30 years) participation within social and environmental service projects in Canada. More specifically, this thesis will answer the following questions: (1) how does youth service program design affect youth engagement in youth service programs, in the context of intergenerational collaboration; (2) what are impacts of youth engagement in youth service programs on secondary organizations and communities; (3) What factors improve the impact of youth engagement in youth service programs on communities? \nTo explore these questions, a survey was created to evaluate established youth service programs. Organizations who host youth service programs and who participated in this study include Ocean Wise, Canadian Wildlife Federation and YMCA of Greater Toronto. Of the youth service program design strategies selected, youth who created meaningful projects, engaged in autonomy and youth empowerment significantly impacted the level of youth engagement. Other design strategies such as skill building, critical thinking, and mentorship did not show to have a significant relationship with youth engagement. Empirical evidence also suggests that youth participants may not be properly engaged within the youth service programs and thus won’t benefit from youth engagement and intergenerational collaboration. Finally, overall youth engagement did not have a significant impact on organizations and communities. Empirical evidence also suggested that youth service programs inherently have a positive impact on communities and organizations regardless of how engaged youth participants were. \nThis thesis made contributions to the intergenerational theory, where further strategies were explored to support relationships. Additionally, it made contributions to the theory of knowledge sharing, where organizations play an important role in supporting youth and properly engaging in meaningful projects. Further research is needed in understanding how the relationship between youth participants and adults further influence the impact of youth service programs on communities and organizations.

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)0.005
metaresearch head score (Gemma)0.011
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 score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.048
GPT teacher head0.277
Teacher spread0.229 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)Same topicYouth Development and Social SupportFrench-language works237,207