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Pivotal moments in the therapeutic relationship

2005· article· en· W1966996566 on OpenAlexaff
Mark Welch

Bibliographic record

VenueInternational Journal of Mental Health Nursing · 2005
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEmpathyTherapeutic relationshipCornerstoneMeaning (existential)PsychologySine qua nonIdentity (music)PerceptionNursing practicePsychotherapistUnconditional positive regardNursingMedicineSocial psychology

Abstract

fetched live from OpenAlex

It is perhaps conventional wisdom that the therapeutic relationship is a cornerstone of psychiatric nursing. It is almost a sine qua non. However, while its importance may be widely recognized, it is notoriously undefined and even those who profess to practise or utilize it, or those who advocate it most strongly, have difficulty in saying exactly what it is. This report details a study carried out with six experienced psychiatric nurses to explore and describe perceptions and understandings of pivotal moments within therapeutic relationships. The nurses were asked, in a series of one-to-one interviews, to consider relationships with clients that they would themselves describe as therapeutic and meditate on those moments at which everything seemed to change and the relationship became qualitatively different. Among the factors the nurses reported as being significant were empathy, uniqueness, meaning and purpose, and appropriate self-disclosure (although many of those terms may require clarification). This paper will consider the implications of these and others for nursing practice and the identity of psychiatric nursing practice.

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)0.021
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0140.033
Scholarly communication0.0120.012
Open science0.0010.013
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0030.001

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 head0.065
GPT teacher head0.480
Teacher spread0.415 · 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 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

Citations78
Published2005
Admission routes1
Has abstractyes

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