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Record W2020719281 · doi:10.1080/13668250500488660

A preliminary study of perceived stress in adults with intellectual disabilities according to self‐report and informant ratings

2006· article· en· W2020719281 on OpenAlexaff
Yona Lunsky, Paul Bramston

Bibliographic record

VenueJournal of Intellectual & Developmental Disability · 2006
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyIntellectual disabilitySelf-report studyClinical psychologyStressorDepression (economics)Mental healthPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Stress is a major risk factor for mental health problems in individuals with intellectual disabilities, however few studies on stress have been conducted that take into account the perspective of both the person with the disability and the caregiver. The present study evaluated an informant version of the Lifestress Inventory, and compared it to the self-report version. METHOD: Seventy individuals with intellectual disability paired with their caregivers completed the Lifestress Inventory, the Inventory of Negative Social Interactions and the Birleson Depression Scale. RESULTS: Informant and self-report ratings on the Lifestress Inventory were internally reliable, showed modest agreement with each other and correlated with the Negative Social Interactions and Depression measures. The most troublesome stressors reported by informants and self-reports differed, however, and families tended to agree more with self-reports than did staff informants. CONCLUSIONS: The informant version of the Lifestress Inventory is a suitable parallel instrument but not a replacement for self-reports.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.018
GPT teacher head0.287
Teacher spread0.269 · 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

Citations61
Published2006
Admission routes1
Has abstractyes

Explore more

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