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“Hugely traumatic things happened”: ‘Well’ siblings’ retrospective insights alongside anorexia

2023· preprint· en· W4382560503 on OpenAlexaff
Jessica Renfrew Frigon, Shirley Chau, Carolyn Szostak, Sarah Dow‐Fleisner

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsAnorexiaDistressSiblingNarrativePsychologyAnorexia nervosaDevelopmental psychologyIdentity (music)PsychotherapistClinical psychologyEating disordersMedicine

Abstract

fetched live from OpenAlex

Introduction: ‘Well’ siblings of individuals with anorexia experience emotional distress and familial discord from their exposure to the illness. With their needs and experiences frequently misunderstood by families, clinicians, and researchers alike, siblings are often considered ‘the forgotten kin’. This retrospective study explored how adult siblings experience their own identity and positioning within the family because of anorexia’s pervasiveness during their childhood and adolescent years. Methods: In-depth interviews were conducted with a community sample of female-identifying adults (n = 5) whose siblings have been recovered from anorexia for a minimum of one year. Informed by a narrative framework, the data were assessed using the interpretive description (ID) strategy and analyzed with the constant comparison method. Results: Two main themes and seven sub-themes emerged. Participants reported experiencing conflict and distress that was traumatic in nature. They described being treated as a ‘well’ sibling while their sisters were treated as distinctly ‘unwell’ – a dichotomy

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)0.004
metaresearch head score (Gemma)0.008
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 score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.004
Open science0.0010.004
Research integrity0.0020.004
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 head0.117
GPT teacher head0.385
Teacher spread0.268 · 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
Published2023
Admission routes1
Has abstractyes

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