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Record W2625962311 · doi:10.1080/14779757.2017.1330704

Emotion-focused therapy for complex trauma

2017· article· en· W2625962311 on OpenAlexaff
Ashley E. Mlotek, Sandra C. Paivio

Bibliographic record

VenuePerson-Centered & Experiential Psychotherapies · 2017
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsNeglectPsychological interventionPsychotherapistSession (web analytics)PsychologyPsychological abuseEmotional traumaIntervention (counseling)Clinical psychologyChild abuseMedicinePoison controlHuman factors and ergonomicsPsychiatryComputer scienceMedical emergency

Abstract

fetched live from OpenAlex

This article describes emotion-focused therapy for complex trauma (EFTT​​). EFTT is an evidence-based, short-term treatment for childhood abuse and neglect that posits the therapeutic relationship and emotional processing of trauma material as key mechanisms of change​​. This paper outlines sources of disturbance and long-term effects of complex trauma. It reviews the theoretical framework on which EFTT is based, mechanisms of change and phases of treatment, as well as supporting research. Primary interventions are demonstrated using a case example from a published video of a single session​​.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.145
GPT teacher head0.368
Teacher spread0.223 · 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 designNot applicable
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

Citations38
Published2017
Admission routes1
Has abstractyes

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