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Record W2405376981

Professional development perceptions and activities of psychiatrists and mental health nurses in New Zealand.

2010· article· en· W2405376981 on OpenAlexaboutno aff
Nikolaos Kazantzis, Sarah Calvert, David E. Orlinsky, Sally E. Rooke, Kevin R. Ronan, Paul L. Merrick

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMental healthProfessional developmentPerceptionContinuing professional developmentNursingFamily medicineHealth professionalsPsychiatryMedical educationHealth carePsychology
DOInot available

Abstract

fetched live from OpenAlex

AIMS: Psychiatrists (n=26) and mental health nurses (n=18) engaged in the practice of psychotherapy were surveyed regarding their perceptions and engagement in professional development activities. METHODS: Collaborative Research Network's (CRN) methodology was followed, and comparisons with CRN samples from Canada and the United States of America (USA) were undertaken. RESULTS: New Zealand psychiatrists reported perceived development across their careers, but their ratings were lower than those of nurses. Both professional groups rated their overall development lower their Canadian counterparts. However, New Zealand nurses reported more involvement in supervision than psychiatrists, and both groups reported rates that exceeded those reported in Canadian and USA samples. New Zealand subgroups reported low involvement in personal therapy in comparison to overseas samples. Supervision and personal therapy were highly regarded by New Zealand practitioners, but didactic training was rated as less important. CONCLUSIONS: New Zealand mental health professionals reported attainment of therapeutic mastery and skill acquisition. New Zealand psychiatrists reported less involvement in case supervision, but rated supervision as having the greatest influence to their development. The results highlight areas of need for continuing professional development for these professions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.332
Teacher spread0.312 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations16
Published2010
Admission routes1
Has abstractyes

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