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Record W3006840364 · doi:10.3389/fpsyg.2019.03052

Managing Distress Over Time in Psychotherapy: Guiding the Client in and Through Intense Emotional Work

2020· article· en· W3006840364 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFrontiers in Psychology · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of CanadaSimon Fraser University
KeywordsPsychologyDistressEmpathyLearned helplessnessPsychotherapistConversationConversation analysisContext (archaeology)Session (web analytics)Personal distressSocial psychologyCommunication

Abstract

fetched live from OpenAlex

Clients who seek psychotherapeutic treatment have had personal experiences involving some form of distress. Although research has shown that the client's ability to experience and express painful emotions during therapy can have a therapeutic benefit, it has also been argued that displaying distress may convey a form of helplessness and vulnerability, and thus, clients may be reluctant to cast themselves in this light. Using the methods of conversation analysis, this paper explores how a client's upsetting experience is managed over the course of a single session of client-centered therapy. The main analytic focus will be on (1) the different therapist practices used to orient to the client's distress, (2) the varying forms of client opposition to the therapist's attempts to work with the distress, and (3) the context sensitivity of orienting to distress and how certain practices may be uniquely shaped by what had occurred in prior talk. It was found that, whereas certain types of therapist responses tended to be endorsed by the client, others were forcefully rejected as inappropriate displays of understanding or empathy. By focusing on repeated sequential episodes over time in which a client conveys distress, followed by the therapist's response, this paper sheds light on the interactional trajectory through which a client and therapist are able to resolve impasses to emotional exploration and to successfully secure extended and intense emotional work.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.527

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.056
GPT teacher head0.317
Teacher spread0.262 · 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