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Record W2065493623 · doi:10.1521/jsyt.2011.30.4.30

Can Questions Lead to Change? An Analogue Experiment

2011· article· en· W2065493623 on OpenAlex
Sara Healing, Janet Beavin Bavelas

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Systemic Therapies · 2011
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsViewpointsPsychologyTask (project management)Affect (linguistics)Test (biology)Focus (optics)Social psychologyCognitive psychologyApplied psychologyCommunication

Abstract

fetched live from OpenAlex

Many non-traditional therapies treat questions as an influential therapeutic technique, but there is little research on this assumption. The goal of the present study was to test the effects of questions in an analogue experiment, that is, a lab experiment that used forms of questions drawn from psychotherapy. The experimenter used contrasting sets of questions to interview undergraduate volunteers about a difficult task they had just done. The broad research question was whether these interviews on the same topic but with a different focus could affect the interviewee, producing different viewpoints and even different behaviors. As predicted, the interviewees' spontaneous explanations of their task performance was congruent with the focus of questioning in their interview—both immediately afterward and one week later. Also as predicted, one kind of questioning improved task performance one week later. Clinical examples throughout illustrate the implications of this research for practice, training, and supervision.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.475

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 head0.116
GPT teacher head0.375
Teacher spread0.259 · 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