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Record W7100608741

JOURNAL OF EARLY ADOLESCENCE / May 2002Hardy et al. / STABI ITY AND CHANGE Stability and Change in Peer Relationships During the Transition to Middle-Level School

2016· article· en· W7100608741 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMedical and Agricultural Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTransition (genetics)NOMINATEFriendshipLongitudinal studyPeer groupPeer acceptancePeer influence
DOInot available

Abstract

fetched live from OpenAlex

In this short-term longitudinal study, Canadian young adolescents ’ peer relationships were assessed as students moved fromGrade 6 in small elementary schools toGrade 7 in a middle-level school offering Grades 7 through 12. Sociometric nominations were con-ducted in May of Grade 6, monthly during the fall term, and in May of Grade 7. Peer rejection was stable; peer acceptance was less stable during the transition than subse-quently. Girls experienced greater instability in reciprocated friendships than did boys, although girls and boys had similar numbers of reciprocated friendships overall. During the fall term ofGrade 7, students lost old reciprocated friendships and formed new recip-rocated friendships with previously unfamiliar peers. Girls weremore likely than boys to nominate previously unfamiliar peers as friends. Girls from the large elementary school, as compared with other girls, established reciprocated friendships with peers who were unfamiliar from elementary school earlier in the fall term. The transition out of smaller elementary schools into larger middle-level schools is a major transition in the lives of many young people. Young adoles-cents typically make the transition out of elementary schools between the

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)0.003
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 score0.288
Threshold uncertainty score0.573

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.259
GPT teacher head0.356
Teacher spread0.097 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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Same topicMedical and Agricultural Research StudiesFrench-language works237,207