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Record W1974144995 · doi:10.1002/erv.669

Understanding intimacy for women with anorexia nervosa: a phenomenological approach

2006· article· en· W1974144995 on OpenAlexaff
Mandi Newton, Sheryl Boblin, Barbara Brown, Donna Ciliska

Bibliographic record

VenueEuropean Eating Disorders Review · 2006
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcMaster University
Fundersnot available
KeywordsClosenessPsychologyAnorexia nervosaRomanceEating disordersInterpersonal relationshipPsychological interventionDevelopmental psychologyInterpretative phenomenological analysisSocial psychologyQualitative researchClinical psychologyPsychoanalysisPsychiatrySociology

Abstract

fetched live from OpenAlex

Abstract Intimacy is considered as an essential aspect of ‘ideal’ romantic relationships and Western culture, in particular, places a strong emphasis on its value. Despite this, intimacy has been largely unexamined for women with anorexia nervosa (AN). This phenomenological study sought to describe the subjective experiences of intimacy for this group of women; a purposive sample of 11 participated in in‐depth, semi‐structured interviews. Whereas previous research has drawn little attention to the contextual factors that support intimate and non‐intimate experiences for women with AN, participants in this study were able to identify what intimacy meant to them, their experiences with intimacy and what they needed within their romantic relationships to be intimate. The women's meanings and experiences with intimacy were consistent with generalized conceptualizations of emotional and physical closeness, and companionship through parenting. These findings augment current research, and may better assist in tailoring specific interventions to foster intimacy and minimize impediments to intimacy. Copyright © 2006 John Wiley & Sons, Ltd and Eating Disorders Association.

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)0.004
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 score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
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 head0.083
GPT teacher head0.303
Teacher spread0.220 · 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

Citations21
Published2006
Admission routes1
Has abstractyes

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