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Record W2008236715 · doi:10.1111/famp.12065

Using the Tenets of the Problem‐Centered Systems Therapy of the Family (<scp>PCSTF</scp>) to Teach the McMaster Approach to Family Therapists

2014· article· en· W2008236715 on OpenAlexaff
Richard Archambault, Abigail K. Mansfield, Doug A. Evans, Gabor I. Keitner

Bibliographic record

VenueFamily Process · 2014
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsOntario HIV Treatment Network
Fundersnot available
KeywordsVideoconferencingAgency (philosophy)PsychologyKey (lock)Family therapyTraining (meteorology)PsychotherapistMedical educationMedicineComputer scienceMultimediaSociology

Abstract

fetched live from OpenAlex

This article describes the videoconferencing training of a group of family therapists in the McMaster Approach to evaluating and treating families. A discussion of the key tenets of the McMaster Approach lays the groundwork for how these tenets were applied to training in a residential treatment agency for adolescents. The article serves as an example of how videoconference technology can facilitate extended training, even from a distance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0060.037
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0040.001

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 head0.054
GPT teacher head0.302
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations12
Published2014
Admission routes1
Has abstractyes

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