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Record W2269189096 · doi:10.1080/10503307.2015.1090034

The professionalization and training of psychologists: The place of clinical wisdom

2015· article· en· W2269189096 on OpenAlexaboutno aff
Heidi M. Levitt, Elizabeth Piazza-Bonin

Bibliographic record

VenuePsychotherapy Research · 2015
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
FundersUniversity of ChicagoJohn Templeton Foundation
KeywordsProfessionalizationPsychologyCompetence (human resources)Professional developmentAccreditationMedical educationEngineering ethicsPsychotherapistPedagogyMedicineSocial psychologySociology

Abstract

fetched live from OpenAlex

OBJECTIVE: The current study examines how clinical wisdom develops and how it both is and can be influenced by professional training processes. In this way, the project is studying the intersection of developmental and systemic processes related to clinical wisdom. METHOD: Researchers analyzed the interviews of psychologists practicing in the USA and Canada who were nominated for their clinical wisdom by their peers. These interviews explored how graduate training and professionalization were thought to influence the development of clinical wisdom and were subjected to an adapted grounded theory analysis. RESULTS: The findings described both professional and personal disincentives toward developing wisdom, including the dangers of isolation. Therapists reported concerns about educational systems that rewarded quick answers instead of thoughtful questioning in processes of admittance, training, and accreditation. Findings emphasized the importance of teaching multiple psychotherapy orientations, critical self- and professional-reflection skills, and openly supporting graduate students' curiosities and continued professional engagement. CONCLUSIONS: Recommended principles for training are put forward for the development and evaluation of psychotherapy training programs that aim to foster clinical wisdom. These principles complement training models focused upon clinical competence by helping trainees to develop a foundation for clinical wisdom.

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)0.020
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.634
GPT teacher head0.645
Teacher spread0.011 · 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

Citations18
Published2015
Admission routes1
Has abstractyes

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