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Record W6904991461 · doi:10.14288/1.0224125

The CPA Presidential Task Force on Evidence-Based Practice of Psychological Treatments

2016· article· en· W6904991461 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsTask (project management)Set (abstract data type)Presidential systemTask forcePsychological researchHierarchyWork (physics)Evidence-based practice

Abstract

fetched live from OpenAlex

The Board of Directors of the Canadian Psychological Association (CPA) launched a Task Force on Evidence-Based Practice of Psychological Treatments to support and guide practice as well as to inform stakeholders. This article describes the work of this Task Force, outlining its raison d’etre, providing a comprehensive definition of evidence-based practice (EBP), and advancing a hierarchy of evidence that is respectful of diverse research methodologies, palatable to different groups, and yet comprehensive and compelling. The primary objective was to present an overarching methodology or approach to thinking about EBP so that psychologists can provide and implement the best possible psychological treatments. To this end, our intention for this document was to provide a set of guidelines and standards that will foster interest, encourage development, and promote effectiveness in EBP.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.240
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.069
GPT teacher head0.438
Teacher spread0.369 · 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
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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