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Record W2945709305 · doi:10.22230/cjnser.2019v10n1a291

Physical and Social Perceptions of the Neighbourhood and Youth Volunteerism: Canada’s Capital Region

2019· article· en· W2945709305 on OpenAlexaffvenueabout
Sean Pearce, Elizabeth Kristjansson

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNeighbourhood (mathematics)SociologySocial capitalSocial psychologyPsychologyWelfare economicsHumanitiesSocial scienceMathematicsArt

Abstract

fetched live from OpenAlex

Youth are embedded within various ecological systems that may impact their philanthropic behaviour. This study employed online data from a sample of undergraduate students and traced the various pathways through which neighbourhood perceptions (e.g., social cohesion, satisfaction with amenities) related to formal and informal volunteering intensities. Path analyses revealed that neighbourhood cohesion directly predicted formal and informal volunteer frequency; as well, it mediated the relationship between satisfaction with neighbourhood amenities and informal volunteerism. Neighbourhood cohesion was strongly associated with informal volunteer intensity, whereas satisfaction with neighbourhood attractiveness did not relate to any volunteer outcomes. Neighbourhood characteristics may be important drivers of youth volunteerism, and thus stakeholders, organizations, and individuals should consider the impact of the social environmental context on shaping youths’ helping behaviour.Les jeunes font partie de divers systèmes écologiques qui peuvent influencer leur comportement philanthropique. Cette étude utilise des données recueillies en ligne à partir d’un échantillon d’étudiants de premier cycle afin de retracer les divers parcours par lesquels leur perception de leur quartier (par exemple, sa cohésion sociale, leur satisfaction par rapport aux services offerts) a une incidence sur leurs activités bénévoles formelles et informelles. L’analyse révèle que la cohésion sociale a comme effet d’augmenter le bénévolat formel et informel. En outre, la cohésion semble augmenter le bénévolat informel là où il y a satisfaction par rapport aux services offerts dans la communauté. En effet, il y a une forte corrélation entre la cohésion d’un quartier et le bénévolat informel. En revanche, la satisfaction à l’égard du pittoresque d’un quartier ne paraît pas avoir d’incidence sur le niveau d’implication philanthropique. Il n’empêche qu’en général un bon quartier peut motiver les jeunes à faire du bénévolat. Ainsi, les parties prenantes, les organisations et les individus devraient tenir compte du contexte socioenvironnemental sur le comportement philanthropique des jeunes.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.298
Teacher spread0.260 · 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 teacher head, not a consensus.

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

Citations7
Published2019
Admission routes3
Has abstractyes

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