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Record W4364351857 · doi:10.1111/famp.12881

Power and dialogue: A review of discursive research

2023· review· en· W4364351857 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.

Bibliographic record

VenueFamily Process · 2023
Typereview
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsUniversity of Calgary
FundersMonash University
KeywordsPower (physics)SociologyPsychologyPhysics

Abstract

fetched live from OpenAlex

Collaborative-dialogic approaches to family therapy advise therapists to take a position of client-as-expert and promote an equality of multiple perspectives. This has led to debates about how to conceptualize power in dialogical therapies with scholars theorizing and researching power as social and negotiated through interaction. We aimed to understand power in dialogical therapy through reviewing discursive research on therapeutic conversations. We performed a systematic search of bibliographical databases PsycINFO, PubMed, and CINAHL. We reviewed the findings from 18 studies utilizing discursive analyses of collaborative-dialogical therapy sessions and examined their findings in relation to power within interactions. We found a strong focus on the practices of the therapist rather than on those of the client. The therapist was presented as a catalyst of dialogue using minimal and active responses to promote dialogical conversations. Therapists also utilized power in response to broader institutional and social demands that may not be consistent with some interpretations of dialogical therapy. We consider practice implications where the exercise of power to direct a session facilitates dialogical interactions.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.813
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.172
GPT teacher head0.490
Teacher spread0.318 · 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