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Record W2170207599 · doi:10.1080/14733140212331384958

Experiential congruence: Qualitative analysis of client and counsellor narrative accounts of significant events in time‐limited person‐centred therapy

2002· article· en· W2170207599 on OpenAlexaff
Soti Grafanaki, John McLeod

Bibliographic record

VenueCounselling and Psychotherapy Research · 2002
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsCongruence (geometry)PsychologyExperiential learningNarrativePhenomenonConstruct (python library)PsychotherapistSocial psychologyEpistemologyComputer sciencePedagogy

Abstract

fetched live from OpenAlex

The concept of congruence represents a core theoretical construct in the development of client‐centred therapy, and remains fundamental to the practice of experiential approaches to psychotherapy. This study explores the ways in which congruence is experienced during significant moments of therapy. Client and counsellor accounts of moments of congruence/incongruence were collected from six cases of person‐centred counselling, and were analysed using a method of narrative analysis. It was found that participants experienced congruence in a variety of ways, suggesting that the construct does not describe a unitary phenomenon. Congruence was experienced as simultaneously intrapsychic and relational. The effective negotiation of episodes of incongruence comprised a necessary element of effective therapy. Further research into the nature of congruence may be valuable in contributing to new understandings of how therapeutic alliances are made, broken and repaired.

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)0.008
metaresearch head score (Gemma)0.031
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 score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0060.008
Scholarly communication0.0050.004
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.171
GPT teacher head0.463
Teacher spread0.292 · 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

Citations48
Published2002
Admission routes1
Has abstractyes

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