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Record W4401972826 · doi:10.1177/07342829241276564

Perceived School Belonging Among Youth with Chronic Physical Illness

2024· article· en· W4401972826 on OpenAlexafffundabout
Mark A. Ferro, Serafina Abbruzzese, Scott T. Leatherdale, Karen A. Patte

Bibliographic record

VenueJournal of Psychoeducational Assessment · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsBrock UniversityUniversity of Waterloo
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsPsychologyPsychopathologyClinical psychologyInternal consistencyDevelopmental psychologyLongitudinal studyPsychometricsMedicine

Abstract

fetched live from OpenAlex

In a sample of youth aged 10–16 years with chronic physical illness, this study examined psychometric properties of a modified Psychological Sense of School Membership (m-PSSM) scale; described longitudinal trends in perceptions over 24 months; and, identified factors associated with school belonging. Youth were recruited from a pediatric hospital in Canada. A total of 105 youth attended school in the past year and provided self-reports. The four-item m-PSSM had a unidimensional structure which was measurement invariant between youth in elementary (10–13 years) versus secondary school (14–16 years). Internal consistency was (ω > .80). There was no evidence that m-PSSM scores changed significantly over time (η 2 = 0.05). Predictors of lower perceived school belonging were being in secondary school, having psychopathology, reporting lower quality of life in the domains of social support and school environment, experiencing peer victimization, and living in a community with higher residential instability and lower material deprivation.

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 score0.325
Threshold uncertainty score0.683

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.019
GPT teacher head0.377
Teacher spread0.357 · 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

Citations3
Published2024
Admission routes3
Has abstractyes

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