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Record W1988263683 · doi:10.1080/10640266.2014.976107

The Influence of Clinician Emotion on Decisions in Child and Adolescent Eating Disorder Treatment: A Survey of Self and Others

2014· article· en· W1988263683 on OpenAlexaff
Adèle Lafrance Robinson, Stacey Kosmerly

Bibliographic record

VenueEating Disorders · 2014
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPsychologyPsychotherapistClinical psychologyPsychiatryDevelopmental psychology

Abstract

fetched live from OpenAlex

Eating disorder clinicians from various disciplines participated in one of two surveys: the "self" group (n = 143) completed a survey assessing the negative influence of emotions on their own clinical decisions, while the "other" group (n = 145) completed a parallel version of the survey that assessed their perceptions of the negative influence of emotion in their colleagues. Both groups endorsed this phenomenon to some degree, although differences in reporting were noted between groups. The perceived negative influence of emotion with regards to specific treatment decisions fell within three categories: decisions regarding food and weight, decisions regarding the involvement of the family in treatment, and decisions related to autonomy and control. Decisions regarding the involvement of the family were perceived to be the most emotionally charged, in particular the involvement of a critical or dismissive parent.

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)0.001
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 score0.113
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.019
GPT teacher head0.317
Teacher spread0.298 · 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

Citations13
Published2014
Admission routes1
Has abstractyes

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