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Record W2040097091 · doi:10.1080/01612840305302

Re-Establishing Psychodynamic Theory as Foundational Knowledge for Psychiatric/Mental Health Nursing

2003· review· en· W2040097091 on OpenAlexaff
Ruth Gallop, Louise O’Brien

Bibliographic record

VenueIssues in Mental Health Nursing · 2003
Typereview
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychodynamicsNursing theoryAssertionTherapeutic relationshipNursingPsychologyInterpersonal communicationMental healthFoundation (evidence)Nursing carePsychotherapistMedicineMEDLINESocial psychologyComputer science

Abstract

fetched live from OpenAlex

Psychiatric nursing care is based on an interpersonal process that relies on the therapeutic use of self in the service of patient care. Despite acknowledgment of the importance of the relationship, there has been little attention paid to the knowledge embedded in psychodynamic theory that can provide a basis for understanding the nurse-patient relationship. This paper argues that nurses need to understand and apply such theory if they are to pursue the assertion that the relationship with the patient is the foundation of their practice. The authors discuss the essential components of psychodynamic theory and their application to nursing as well as the possible reasons for the loss of interest in such theory.

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)0.009
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0010.013
Scholarly communication0.0060.012
Open science0.0020.004
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0020.001

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 head0.074
GPT teacher head0.544
Teacher spread0.470 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations47
Published2003
Admission routes1
Has abstractyes

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