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Record W2208752034 · doi:10.1111/ldrp.12092

University Students with Reading Difficulties: Do Perceived Supports and Comorbid Difficulties Predict Well–Being and GPA?

2015· article· en· W2208752034 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLearning Disabilities Research and Practice · 2015
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyLife satisfactionSocial supportReading (process)Academic achievementMediationClinical psychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

We examined the impact of the number of comorbid difficulties, social support, and community support on life satisfaction and academic achievement among 120 university students or recent graduates with self–reported reading difficulties. Participants completed a questionnaire assessing perceived social support, perceived community support, the number of comorbid difficulties in addition to reading difficulty, life satisfaction, and academic achievement (grade point average). Results supported a main effect model in which the number of comorbid difficulties and social, but not community, support predicted life satisfaction. Social and community support did not moderate the relationship between the number of comorbid difficulties and life satisfaction, lending no support to the buffering effect hypothesis. However, a mediation model showed that social support partially mediated the relationship between the number of comorbid difficulties and life satisfaction. Academic achievement did not correlate with any included variable.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.578
Threshold uncertainty score0.840

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.089
GPT teacher head0.440
Teacher spread0.351 · 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