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Record W2076826503 · doi:10.1080/14927713.2002.9651308

Family volunteering: Making a difference together

2002· article· en· W2076826503 on OpenAlexaffvenue
Rosemary C. Reilly, Vesna Vesic

Bibliographic record

VenueLeisure/Loisir · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsConcordia University
Fundersnot available
KeywordsRecreationSummative assessmentService (business)PsychologyCommunity servicePublic relationsMedical educationPedagogyMedicinePolitical scienceMarketingBusinessFormative assessment

Abstract

fetched live from OpenAlex

This paper discusses the implementation and evaluation of a family volunteering program. This initiative uses a broad definition of family working together to enrich the lives of others, strengthen family ties, and improve the quality of community life. Two families participated by volunteering together at a seniors’ centre. Summative evaluation of the pilot, and interviews conducted one year later, suggests that the participants experienced beneficial effects. Their experiences were described as enjoyable, meaningful, and integrative; as well, it inspired motivation to incorporate volunteering into the lives of others. This pilot confirms family volunteering successfully combines community service and leisure into a gratifying and worthwhile activity for participants of all ages, extending the customary boundaries of the concept of family recreation.

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)0.007
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.006
Scholarly communication0.0040.006
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.040
GPT teacher head0.281
Teacher spread0.241 · 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

Citations14
Published2002
Admission routes2
Has abstractyes

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