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Record W2074954290 · doi:10.1111/cpsp.12012

The narrowing of theoretical orientations in clinical psychology doctoral training.

2012· article· en· W2074954290 on OpenAlexaff
Laurie Heatherington, Stanley B. Messer, Lynne Angus, Timothy J. Strauman, Myrna L. Friedlander, Gregory G. Kolden

Bibliographic record

VenueClinical Psychology Science and Practice · 2012
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsYork University
FundersAmerican Psychological Association
KeywordsPsychologyGraduate studentsClinical PracticeApplied psychologyMedical educationCounseling psychologyPsychotherapistFocus (optics)Professional psychologyClinical psychologyEngineering ethicsPedagogyMedicineNursing

Abstract

fetched live from OpenAlex

The focus of this article is the increasingly narrow range of therapeutic orientations represented in clinical psychology graduate training programs, particularly within the most research-oriented programs. Data on the self-reported therapeutic orientations of faculty at "clinical science" Ph.D. programs, Ph.D. programs at comprehensive universities in clinical and in counseling psychology, Psy.D. programs at comprehensive universities, and Ph.D. or Psy.D. programs at freestanding specialized institutions reveal a strong predominance of faculty with cognitive-behavioral orientations at the more science-focused programs, and a narrower range of orientations than in the more practice-focused programs. We discuss the implications of this trend for the future development of clinical psychology and provide suggestions for addressing the attendant concerns. © 2013 American Psychological Association. Published by Wiley Periodicals, Inc., on behalf of the American Psychological Association.

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)0.061
metaresearch head score (Gemma)0.059
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.939
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0610.059
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0060.045
Scholarly communication0.0100.008
Open science0.0020.012
Research integrity0.0030.009
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 head0.407
GPT teacher head0.640
Teacher spread0.233 · 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.

Study designObservational
DomainIncentives
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

Citations52
Published2012
Admission routes1
Has abstractyes

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