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Record W2176293482 · doi:10.4236/ojmp.2015.44013

Psychiatry Trainees’ Attitudes towards Psychotherapy

2015· article· en· W2176293482 on OpenAlexaffabout
George Radu, Gregory E. Harris, Weldon Bonnell, Krystal Bursey

Bibliographic record

VenueOpen Journal of Medical Psychology · 2015
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPsychologyPsychotherapistMedical educationPsychiatryMedicine

Abstract

fetched live from OpenAlex

Background: Psychotherapy education is one of the essential components of specialist training in psychiatry according to the Royal College of Physicians of Canada. How psychiatry trainees perceive psychotherapy has major implications for how trainees will learn about psychotherapy during training, how they will utilize it in their future practice, and how they will integrate it into their professional identity. Methods: The study involved the distribution of questionnaires to psychiatry residents at an Atlantic Canadian Medical School. The survey consisted of Likert-scaled items which assessed residents’ attitudes towards being a psychotherapist and their future study and practice plans in psychotherapy. Results: Surveys were completed by 18 out of 25 residents (72% response rate). Half of participants indicated that conducting psychotherapy was highly rewarding and the majority of residents planned to incorporate psychotherapy into their future practice. Several mean differences were also noted between those residents who completed their undergraduate medical education in Canada versus at International locations. Conclusion: Despite the recent changes in psychotherapy training requirements and concerns about psychotherapy’s role in psychiatry, many residents perceive psychotherapy skills as being important for competent psychiatry practice and plan to incorporate their psychotherapy training into their future practice. Additional implications for teaching, future research, and practice are discussed.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.564
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.138
GPT teacher head0.518
Teacher spread0.380 · 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

Citations3
Published2015
Admission routes2
Has abstractyes

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