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Record W3207949079

Unique Circumstances and Family Stress: Having a Sibling with Prader-Willi Syndrome

2021· article· en· W3207949079 on OpenAlexaff
Darcy French

Bibliographic record

VenueStudent Research Proceedings · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPsychologySisterSiblingDevelopmental psychologyContext (archaeology)AnxietyDepression (economics)NeglectClinical psychologyMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Raising a child with neuro-atypical needs is challenging for any family. It is not surprising that many aspects of parental stress, anxiety, depression, and raising children with special needs have many research publications. This study looks at the specific genetic disorder Prader-Willi Syndrome (PWS) and its effects on family members. PWS affects approximately 1 in 10,000 to 1 in 30,000 live births (Magill et al. 2020). Individuals with PWS have multiple symptoms, including hypertonia during infancy, developmental delay, maladaptive behavioral problems (extreme stubbornness and tantrums), scoliosis, strabismus, hypogonadism, and hyperphagia (Holm et al. 1993). Rather than focus on the parental context of raising an individual with PWS, this study will explore the impact of the siblings raised with a brother or sister with PWS. Precisely, this study will measure to what degree these siblings experience stress in their daily lives. This study will target teens from 13-17 years old and adult siblings 18 years and older. The results will be analyzed and compared to siblings raised with brothers and sisters that are neurotypical. Department: Psychology Faculty Mentor: Dr. Sean Rogers

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 score0.423
Threshold uncertainty score0.632

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 science0.0000.001
Research integrity0.0000.000
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 head0.050
GPT teacher head0.358
Teacher spread0.308 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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