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Record W1967931466 · doi:10.1037/a0038711

Patients’ experiences of clinicians’ crying during psychotherapy for eating disorders.

2015· article· en· W1967931466 on OpenAlex
Ashley Tritt, Jonathan Kelly, Glenn Waller

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychotherapy · 2015
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsMcGill University
Fundersnot available
KeywordsCryingPsychologyContext (archaeology)PsychotherapistEating disordersPerceptionClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Many psychotherapists have cried in a therapy session. Those clinicians who do cry see it as likely to have a positive impact on the therapy or to have no impact, and therapist personality characteristics have not shown reliable associations to crying in therapy. However, it is not known how patients experience therapists' crying, or whether the patient's view of the therapist's characteristics is related to that experience. This study used an online survey, recruiting 202 patients with eating disorders, 188 of whom had received therapy for an eating disorder, and 105 of whom had experienced a therapist crying. Retrospective data from those 105 individuals indicated that therapists' crying tended to be seen positively, by patients but that perception was influenced by the patients' perceptions of the demeanor of their therapist and their understanding of the meaning of the crying. Although they need to be extended to other disorders, these findings suggest that therapists' crying needs to be understood in the context of the therapist's perceived characteristics and demeanor, rather than being assumed to be positive or to have no impact on the therapy.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score0.732

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 studies0.0010.000
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 head0.090
GPT teacher head0.461
Teacher spread0.371 · 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