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Record W3111051092 · doi:10.1080/02668734.2020.1803390

Psychodynamic therapy in Canada in the era of evidence-based practice

2020· article· en· W3111051092 on OpenAlexaffabout
Allan Abbass, Giorgio A. Tasca, Helen‐Maria Vasiliadis, Jessica Spagnolo, David Kealy, Paul L. Hewitt, Catherine Hébert, Martin Drapeau, Norman Doidge

Bibliographic record

VenuePsychoanalytic Psychotherapy · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsMcGill UniversityUniversity of British ColumbiaUniversité de SherbrookeUniversity of OttawaDalhousie University
Fundersnot available
KeywordsPsychodynamicsMisrepresentationPsychoanalytic theoryNeglectPsychologyPsychotherapistEvidence-based practicePsychodynamic psychotherapyEmpirical evidenceMedicinePolitical scienceEpistemologyPsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

In this article, Canadian psychotherapy researchers and teachers review the state of psychodynamic therapy (PDT) in Canada. We review the ways in which PDT has been implemented, developed and researched within the public and private sector, and how psychoanalytic and psychodynamic practitioners regionally have responded to the challenges of evidence-based practice and the emphasis on empirically supported treatments (EST) as it is defined today. We note that neglect and misrepresentation of the scientific evidence behind PDT has resulted in its marginalization. There is also a dearth of evidence collected to measure the effectiveness of implementing EST. Based on its empirical standing, we propose a model of care that incorporates PDT as an effective, evidence-based model for first line treatment, and also as an alternative for those patients who do not respond to other treatments or who express a preference for PDT or insight-oriented therapy.

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), 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: none
Teacher disagreement score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.102
GPT teacher head0.391
Teacher spread0.289 · 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

Citations9
Published2020
Admission routes2
Has abstractyes

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