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Record W2557894689 · doi:10.1352/2326-6988-4.4.239

Parent and Teacher Perspectives on Friendships and Social Interactions of Secondary Students With Intellectual and Developmental Disabilities

2016· article· en· W2557894689 on OpenAlexaff
Zach Rossetti, Donna H. Lehr, Shuoxi Huang, Jessica L. Ghai, Nancy Harayama

Bibliographic record

VenueInclusion · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsFriendshipFacilitatorThematic analysisPsychologyQualitative researchDevelopmental psychologyContext (archaeology)PedagogySocial psychologySociology

Abstract

fetched live from OpenAlex

Friendships between students with and without intellectual and developmental disabilities (IDD) remain infrequent, especially at the secondary level. However, when friendships between students with and without IDD have developed, direct support from parents and teachers has been a critical facilitator. Thus, this qualitative study examined parent (n = 10) and teacher (n = 20) perspectives on friendships and social interactions of middle and high school students with IDD receiving special education services in inclusive settings at least part of the day. The data were collected through semi-structured interviews with each participant and analyzed inductively using a multistage process of open and then thematic coding. The thematic findings suggest that the challenge of friendship development between students with and without IDD is ongoing, though there may be potential in focusing more explicitly and intentionally on increasing social interaction opportunities both in and out of school. Implications for future research and practice are described in the context of supporting students with and without IDD to increase social interactions and develop friendships.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.367
Teacher spread0.319 · 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 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

Citations12
Published2016
Admission routes1
Has abstractyes

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