MétaCan
Menu
Back to cohort
Record W2239251485 · doi:10.1521/jsyt.2015.34.2.15

Talking Societal Discourses Into Family Therapy: A Situational Analysis of the Relationships Between Societal Expectations and Parent-Child Conflict

2015· article· en· W2239251485 on OpenAlex
Sally St. George, Dan Wulff, Karl Tomm

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 · 2015
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsSituational ethicsFamily therapyInterpersonal communicationPsychologySet (abstract data type)Social psychologyPsychotherapistDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

Using the processes of Research As Daily Practice, we looked for the connections between parent-child conflict and the messages society promotes as to how parents and children should behave together. In our family therapy practices we noticed parents and children relating to each other in ways that seemed to resemble efforts to try to follow the more than engaging in local or situation-specific ways that reflected their circumstances. If our hunch was valid, we wondered how we might include talk about these societal discourses in therapy sessions to help families deal more effectively with the stress and conflict within their families. We conducted a situational analysis using data consisting of clinicians' impressions of (a) the pathologizing interpersonal patterns (PIPs) within their client families and (b) the societal discourses believed to be taken up by families. The result was practice-based evidence in the form of a set of clinical questions that invite societal discourses into family therapy conversations.

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)0.001
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 score0.063
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.073
GPT teacher head0.337
Teacher spread0.265 · 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