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Record W3013730765 · doi:10.5206/uwomj.v88i2.7300

Evaluating the talking cure

2020· article· en· W3013730765 on OpenAlexvenueno aff
Megha Verma

Bibliographic record

VenueUniversity of Western Ontario Medical Journal · 2020
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsnot available
Fundersnot available
KeywordsPanacea (medicine)SkepticismMental illnessZeitgeistPsychotherapistPsychologyRandomized controlled trialGold standard (test)CognitionPsychiatryAlternative medicineMedicineMental healthEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

It would seem that a disorder as complex as a mental illness would require equally complex solutions. “Talking cures”, known today as psychotherapies, were lauded as unscientific for a very long time.1 Today, cognitive behaviour therapy (CBT) is a psychotherapeutic technique that has shown considerable success in improving the prognosis for many mental illnesses using the scientific method. It is considered a panacea by some for mental illness amidst the zeitgeist of skepticism for pharmacology. This article explores the philosophical foundations of CBT and explains how a technique considered as unscientific is now the gold-standard in mental illness treatment. A randomized controlled trial (RCT) will also be discussed to examine its validity on psychotherapy and determine whether efficiency studies may be more suitable to adequately compare psychotherapies.

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)0.070
metaresearch head score (Gemma)0.244
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: Commentary · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.368

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0700.244
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0040.005
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0280.002

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 head0.199
GPT teacher head0.441
Teacher spread0.242 · 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
GenreCommentary

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
Published2020
Admission routes1
Has abstractyes

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