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Record W2463549741 · doi:10.1002/pits.21941

CLASSROOM QUALITY AND STUDENT BEHAVIOR TRAJECTORIES IN ELEMENTARY SCHOOL

2016· article· en· W2463549741 on OpenAlexaff
Marissa Swaim Griggs, Amori Yee Mikami, Sara E. Rimm‐Kaufman

Bibliographic record

VenuePsychology in the Schools · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of British Columbia
FundersNational Academy of Education
KeywordsPsychologyPerspective (graphical)Developmental psychologyAcademic achievement

Abstract

fetched live from OpenAlex

Student behavioral concerns are a top priority for school psychologists. This project took an ecological systems perspective by examining the contribution of students’ initial externalizing and internalizing behaviors and the quality of their classroom environments to their behavioral outcomes across one school year. Participants included 322 elementary students and their 32 teachers. Results suggested that externalizing and internalizing behaviors were stable over time. However, the correlation between fall and spring internalizing behavior was accentuated if students also had high externalizing behavior in the fall. Poor spring behavioral engagement was predicted by students’ fall internalizing (but not externalizing) behavior. Importantly, classrooms high in emotional support attenuated the stability of students’ internalizing behavior. In addition, students’ fall externalizing behavior appeared to be associated with reduced spring internalizing behavior in classrooms high in emotional support or classroom organization. Findings underscore the importance of considering both student- and classroom-level factors when predicting elementary students’ behavioral outcomes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.446
Teacher spread0.385 · 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 teacher head, 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

Citations16
Published2016
Admission routes1
Has abstractyes

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