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Record W2150658094 · doi:10.1111/sode.12001

Stability and Change in Kindergartners' Friendships: Examination of Links with Social Functioning

2012· article· en· W2150658094 on OpenAlexaff
Marie‐France Proulx, François Poulin

Bibliographic record

VenueSocial Development · 2012
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyDevelopmental psychologyFriendshipSocial functioningSocial changePeer acceptanceSocial psychologyInterpersonal relationshipPeer group

Abstract

fetched live from OpenAlex

Abstract Stability and change in kindergartners' friendships were examined based on a typology of profiles (stable, fluid, loss, gain, friendless). Our purpose was to determine whether children belonging to the five profiles differed in their social functioning. The sample was composed of 2353 kindergartners. Reciprocal friendships and social functioning indices were measured using peer nominations collected in O ctober and M ay of the same year. A series of repeated measures analysis of variance indicated that children in the friendless profile were less accepted by their peers, more shy, more withdrawn, and more aggressive than other children. Moreover, children in the stable profile were significantly more accepted by their peers, more prosocial, and less shy than children in the fluid profile. Lastly, children in the loss profile became less accepted by their peers and less prosocial over the course of the year whereas children in the gain profile became more accepted and prosocial.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.070
GPT teacher head0.305
Teacher spread0.235 · 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

Citations29
Published2012
Admission routes1
Has abstractyes

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