MétaCan
Menu
Back to cohort
Record W2102125502 · doi:10.26522/brocked.v19i2.137

A Longitudinal Exploration of the Academic and Psychosocial Outcomes of Students with Emotional/Behavioural Difficulties: The Importance of Student Perceptions of Themselves, Their Peer Relationships, and Their Classrooms

2010· article· en· W2102125502 on OpenAlexaffvenueabout
Jessica Whitley, Edward P. Rawana, Keith Brownlee, Jennine S. Rawana

Bibliographic record

VenueBrock Education Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsYork UniversityLakehead UniversityUniversity of Ottawa
Fundersnot available
KeywordsPsychosocialPsychologyPerceptionAcademic achievementDevelopmental psychologyLongitudinal study

Abstract

fetched live from OpenAlex

Students with emotional/behavioural difficulties (E/BD) continue to experience poor academic and psychosocial outcomes. Developing a better understanding of the ways in which indicators of these outcomes develop while students are still in early grades can assist in planning effective programming and alter negative trajectories. Accordingly, the present study sought to explore the perceptions of students with and without E/BD regarding their self-concept, classroom climate, and academic achievement over the course of one school year. The participants consisted of 68 elementary-aged students attending two schools in Northwestern Ontario. A repeated measures ANOVA was conducted and a number of significant differences were found both between groups and over time. Specifically, students in the E/BD group experienced poorer functioning compared to students without E/BD at most time points. Patterns of change in psychosocial and academic variables were largely similar across groups. Discussions of these findings, as well as implications for practice and for future research are presented. Keywords: Emotional/behavioural difficulties; self-concept; academic achievement

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)0.001
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 score0.071
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.050
GPT teacher head0.353
Teacher spread0.303 · 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

Citations5
Published2010
Admission routes3
Has abstractyes

Explore more

Same venueBrock Education JournalSame topicEarly Childhood Education and DevelopmentFrench-language works237,207