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Record W2051971386 · doi:10.1002/jclp.20210

Self-criticism and depressive symptomatology interact to predict middle school academic achievement

2005· article· en· W2051971386 on OpenAlexaff
Golan Shahar, Christopher C. Henrich, Annick Winokur, Sidney J. Blatt, Gabriel P. Kuperminc, Bonnie J. Leadbeater

Bibliographic record

VenueJournal of Clinical Psychology · 2005
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPsychologySelf-criticismPsychopathologyPersonalityCriticismAcademic achievementClinical psychologyDevelopmental psychologyDepression (economics)Big Five personality traitsCognitionSelf-conceptDepressive symptomsSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Although previous research has implicated adolescent depression in academic difficulties, few studies have explored the role of cognitive/personality factors in this area. To address this gap, the present study examines the role of self-criticism in academic functioning among early adolescent students over a 1-year interval. We hypothesized and found that adolescent self-criticism and depressive symptomatology interacted to predict decreased grade point average (GPA) over time, an interaction that was found predominantly in boys. This finding illustrates the need to integrate research on personality and psychopathology into educational psychology.

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 score0.126
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.085
GPT teacher head0.450
Teacher spread0.366 · 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

Citations60
Published2005
Admission routes1
Has abstractyes

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