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Record W4404470802 · doi:10.1080/00797308.2024.2422284

Extending Child and Adolescent Psychoanalysis to Special Populations: Regulation-Focused Psychotherapy for Children (RFP-C) and Transference-Focused Psychotherapy for Adolescents (TFP-A)

2024· article· en· W4404470802 on OpenAlexaff
Alexander H. Sheppe, Timothy Rice

Bibliographic record

VenueThe Psychoanalytic Study of the Child · 2024
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsColumbia College
Fundersnot available
KeywordsPsychotherapistPsychologyChild psychotherapyPsychodynamic psychotherapyPsychoanalysis

Abstract

fetched live from OpenAlex

In the last decade clinicians and researchers have developed Regulation-Focused Psychotherapy for Children (RFP-C) and Transference-Focused Psychotherapy for Adolescents (TFP-A), two manualized, evidence-based, time-limited treatments derived from child and adolescent psychoanalysis. These therapies are designed to treat special, complex patient populations including children with severe externalizing behaviors and adolescents with nascent or actual severe personality disorders, youth thought to be beyond the reach of traditional psychoanalysis or thought to benefit from modifications of standard psychoanalytic technique to maximize the effectiveness and efficiency of psychoanalytic treatment. Despite the effectiveness of psychoanalysis, manualized cognitive-behavioral approaches like parent management training and dialectical behavior therapy are currently the most popular treatments for these patients, partially because there are too few child and adolescent psychoanalysts to meet demand. The authors describe RFP-C and TFP-A and illustrate their effectiveness using clinical material. The authors advocate for wider acceptance and utilization of these two broadly teachable manualized treatments by the psychoanalytic and psychotherapeutic communities to extend the reach of psychoanalysis to severely suffering patients who can reap the unique benefits of these essentially psychoanalytic approaches.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.352
Teacher spread0.312 · 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.

Study designObservational
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

Citations1
Published2024
Admission routes1
Has abstractyes

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