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Record W4405707002 · doi:10.1521/jsyt.2024.43.2.97

Virtual Single-Session Therapy: A Study of Parents' Self-Efficacy

2024· article· en· W4405707002 on OpenAlexaffvenue
Julia-Chrissoula Renauld, Jennifer Smith, Natasha McBrearty, Jessica Whitley, Maria Rogers

Bibliographic record

VenueJournal of Systemic Therapies · 2024
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsCarleton UniversityUniversity of Ottawa
Fundersnot available
KeywordsSession (web analytics)PsychologyPsychotherapistClinical psychologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Several studies have demonstrated the effectiveness of single-session therapy (SST) delivered within walk-in counseling clinics. The purpose of this mixed-methods case study is to investigate two aspects of a virtual SST experience for parents seeking services: (a) how parents perceived their parenting self-efficacy following SST at a children's mental health center and (b) how parents perceived their overall experience with the virtual modality of SST. Eight parents (all mothers) completed a parent self-efficacy scale and participated in a semistructured individual interview. Findings indicate that virtual SST provided parents with greater parental knowledge and concrete collaborative problem-solving strategies that improved parent-child interactions. The emotional support received at the SST reduced parents' distress while increasing hopefulness in the parenting role. Parents also valued the accessibility and convenience of the virtual option. Overall, the findings of this study provide evidence that virtual SST can be beneficial for parents and supportive of their self-efficacy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.556

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.367
Teacher spread0.302 · 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 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

Citations0
Published2024
Admission routes2
Has abstractyes

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