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Record W61410571 · doi:10.1177/019874290503000404

Differential Effects of Peer-Assisted Learning Strategies on Students’ Social Preference and Friendship Making

2005· article· en· W61410571 on OpenAlexaff
Éric Dion, Douglas Fuchs, Lynn S. Fuchs

Bibliographic record

VenueBehavioral Disorders · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyFriendshipPreferenceDevelopmental psychologyIntervention (counseling)Peer acceptanceSociometryProsocial behaviorPeer groupReading (process)NorwegianSocial psychology

Abstract

fetched live from OpenAlex

This experimental study examined the influence of a classwide peer-tutoring reading program (Peer-Assisted Learning Strategies; PALS) on the quality of social relationships of elementary school children. Using a sociometric procedure, social preference and friendships were evaluated before and after the PALS program. Overall (mean) and differential (conditional on pre-treatment status) effects were considered. Modest positive effects were detected, but only for children who were unpopular or had no friends before the intervention. We discuss the possibility that problem behaviors may negate the generally positive effects of peer-mediated activity on social relations.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.089
GPT teacher head0.414
Teacher spread0.325 · 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

Citations27
Published2005
Admission routes1
Has abstractyes

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