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Record W2060651229 · doi:10.1177/0044118x13506447

Youth Narratives on Community Experiences and Sense of Community and Their Relation to Participation in an Early Childhood Development Program

2013· article· en· W2060651229 on OpenAlexaff
Julian Hasford, Colleen Loomis, Geoffrey Nelson, S. Mark Pancer

Bibliographic record

VenueYouth & Society · 2013
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsProsocial behaviorNarrativePsychologyDevelopmental psychologyMeaning (existential)Sense of communityPositive Youth DevelopmentEarly childhoodSocial psychologyFutures contract

Abstract

fetched live from OpenAlex

This comparative study examined how participation in an early childhood development (ECD) program, Better Beginnings, Better Futures, for children (ages 4-8) relates to sense of community (SOC) in later adolescence (ages 18-19). Youths’ stories ( N = 96) about community experiences, collected by semistructured, open-ended interviews, were quantitatively coded for several narrative dimensions (specificity, positivity, prosocial content, and meaning-making) and for elements of SOC (membership, influence, needs fulfillment, and shared emotional connection). Findings show a significant positive relationship between all narrative dimensions and the total SOC score. Better Beginnings youths’ stories ( n = 64) were significantly higher on specificity and shared emotional connection than comparison youth ( n = 32). Findings have implications for community-based ECD programs to impact later adolescence SOC and for using narratives to study these effects.

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)0.002
metaresearch head score (Gemma)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0000.001
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 head0.128
GPT teacher head0.414
Teacher spread0.286 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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