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Record W4223520880 · doi:10.1111/bjc.12370

Path to practising self‐compassion in a tertiary eating disorders treatment program: A qualitative analysis

2022· article· en· W4223520880 on OpenAlexafffund
Josie Geller, Avarna Fernandes, Suja Srikameswaran, Rachelle Pullmer, Sheila K. Marshall

Bibliographic record

VenueBritish Journal of Clinical Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsPsychologyCompassionCourageSelf-compassionPsychological interventionPsychotherapistQualitative researchClinical psychologyTertiary careMindfulnessPsychiatryMedicineFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Although self-compassion has been shown to facilitate eating disorder (ED) remission, significant barriers to acquiring this skill have been identified. This is particularly true for tertiary care populations, where ED behaviours provide a valued identity and readiness issues are highly salient. In this research, the voices and perspectives of patients who have recovered as well as those in later stages of tertiary care treatment were captured using qualitative methods. METHODS: Seventeen individuals with a lengthy ED history (seven fully recovered, 10 currently in recovery-focused residential treatment) participated in audio recorded interviews. Using a visual timeline, participants described the development of their understanding of self-compassion, barriers to self-compassion and how these barriers were overcome. RESULTS: Three processes were identified, reflecting different levels of readiness. Challenging my beliefs involved overcoming cognitive barriers to the concept of self-compassion (i.e. coming to see self-compassion as helpful), and set the stage for dealing with the world around me and rolling up my sleeves, which reflected preparatory (i.e. freeing oneself from difficult life circumstances) and active (i.e. having the courage to do the work) change efforts, respectively. CONCLUSIONS: These findings may help patients embarking on tertiary care treatment to envision a roadmap of supportive processes and help clinicians tailor interventions to patient level of readiness for self-compassion.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.114
GPT teacher head0.556
Teacher spread0.443 · 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.

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

Citations2
Published2022
Admission routes2
Has abstractyes

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