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Record W4399547301 · doi:10.1177/08830738241257985

Perspectives on and Experiences With Bullying From Youth With Neuromuscular Conditions

2024· article· en· W4399547301 on OpenAlexaff
Nurin Chatur, Christina Ippolito, Laura McAdam

Bibliographic record

VenueJournal of Child Neurology · 2024
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsUniversity of TorontoHolland Bloorview Kids Rehabilitation Hospital
Fundersnot available
KeywordsPsychologyDevelopmental psychologyPhysical medicine and rehabilitationCriminologyMedicine

Abstract

fetched live from OpenAlex

Aim: To understand the bullying experiences of youth with neuromuscular conditions. Method: Fourteen participants with neuromuscular conditions (10 male; 10-19 years old) participated in semistructured interviews that were analyzed using inductive thematic analysis. Results: Four overarching themes were identified: (1) participants experienced stigma-based bullying; (2) participants exhibited resilience despite bullying victimization; (3) participants identified personally and theoretically helpful and unhelpful supports with regard to bullying; and (4) participants proposed bullying interventions. Interpretation: Individuals with neuromuscular conditions had unique experiences and perspectives on bullying. This qualitative study provides health care professionals with insight into the bullying experiences of patients with neuromuscular conditions. Findings highlight the role for formal and informal education to mitigate stigma-based bullying and increased opportunities for peer support as a protective factor against bullying.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.263
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2024
Admission routes1
Has abstractyes

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