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Record W4415414673 · doi:10.1080/10503307.2025.2572795

From fear toward confidence: Understanding change in clinical concerns and self-efficacy in couple and family therapy students

2025· article· en· W4415414673 on OpenAlexaff
Allen K. Sabey, Erin R. Shanahan, Erin J. Strahan, Adèle Lafrance

Bibliographic record

VenuePsychotherapy Research · 2025
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsSaint Mary's UniversityWilfrid Laurier UniversitySt. Mary's University
FundersNorthwestern University
KeywordsFamily therapyClinical PracticeMEDLINEClinical treatmentClinical supervision

Abstract

fetched live from OpenAlex

Objective: Given their professional developmental stage, couple and family therapy (CFT) students are likely to have clinical concerns or fears about potential negative experiences that could occur in their clinical work as they progress through their training. A recently developed self-report measure was used to increase awareness of these clinical concerns and ultimately decrease the potential of their negative impact during clinical care.Method: 71 CFT students (mostly female, 87.3%, and White, 70.4%) completed this measure and other potentially relevant measures (e.g., clinical self-efficacy, attachment security) at bi-monthly intervals throughout their clinical training.Results: Results suggest that clinical concerns decreased over the course of their training and that increases in clinical self-efficacy led to a greater decrease in clinical concerns over time.Conclusion: This study has important practical implications for clinical training programs, particularly for ways through which supervisors can support clinicians in growing awareness of potential clinical concerns, and their impact on care delivery.

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.436
GPT teacher head0.582
Teacher spread0.145 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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