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Record W2695979768 · doi:10.1177/1049731517710326

Using the CYRM-28 With South African Young People: A Factor Structure Analysis

2017· article· en· W2695979768 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueResearch on Social Work Practice · 2017
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPsychological resiliencePsychologyContext (archaeology)Structural equation modelingSample (material)Latent variableSocial psychologyDevelopmental psychologyGeographyStatisticsMathematics

Abstract

fetched live from OpenAlex

Purpose: The factor structure of the Child and Youth Resilience Measure (CYRM-28) was originally established using a Canadian sample. This factor structure was not confirmed in a study with New Zealand youth. Given such variability, the current study investigated the factor structure of the CYRM-28 in a sample of Sesotho-speaking South African youth who participated in Pathways to Resilience Study. Method: Using latent variable modeling, we tested six varied models in two randomly selected samples ( n 1 = 559; n 2 = 578). Results: Fit statistics indicated that a three-factor variation of the New Zealand model, namely, individual, family/relational, and composite context, fitted best. The contextual composite synthesizes the CYRM-28 clusters that measure social skills, educational, spiritual, community, and cultural resources. Conclusion: The contextual composite reflects traditional African ways of being. Accordingly, understanding the factor structure of the CYRM-28 precedes practitioner capacity to promote resilience in an evidence-informed way.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0050.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.246
GPT teacher head0.572
Teacher spread0.326 · 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