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Record W2162076507 · doi:10.1177/0899764008319624

An Untapped Resource

2008· article· en· W2162076507 on OpenAlexaffabout
Charlene S. Shannon

Bibliographic record

VenueNonprofit and Voluntary Sector Quarterly · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsClubPositive Youth DevelopmentPerceptionPsychologyResource (disambiguation)Youth studiesDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

Research on youth volunteers has overlooked those between the ages of 8 and 12 (younger youth). As a result, little is known about the volunteer activities, motivations, or barriers of youth this age. This study used semi-structured interviews with 73 younger youth from Boys and Girls Clubs in Atlantic Canada and 7 club executive directors to explore the contributions younger youth can make as volunteers and how their experiences differ from older youth volunteers. The findings indicated that younger youth can engage in a wide range of volunteer activities. They participate because they experience volunteering as fun and enjoy the rewards, both tangible and intangible, associated with volunteering. The most significant barriers are related to perceptions others have related to what younger youth can do as volunteers.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.099
Threshold uncertainty score0.330

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0060.004
Scholarly communication0.0080.008
Open science0.0030.012
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0990.026

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 head0.028
GPT teacher head0.283
Teacher spread0.255 · 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 designQualitative
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

Citations19
Published2008
Admission routes2
Has abstractyes

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