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Nurse–client processes in mental health: recipients’ perspectives

2006· article· en· W2055746066 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Psychiatric and Mental Health Nursing · 2006
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsWestern UniversitySt Joseph's Health Care
Fundersnot available
KeywordsFeelingNursingActive listeningMental healthPsychologyNurse–client relationshipValue (mathematics)Therapeutic relationshipMedicineSocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

An ethnonursing method was selected to explore and describe nursing support relationships, from the perspectives of recipients, within the mental health subculture. Data sources consisted of three semi-structured client interviews (n = 14) and field notes. When nurses were described as nice and friendly, and validated the client as a person by listening, three overlapping phases of development emerged from the data. These included: a glimmer of help, exploring and problem solving, and saying goodbye. When clients had negative experiences with nurses, they felt a lack of trust towards nurses and felt that their feelings were left unexplored. As a result, the relationships deteriorated. Deterioration began immediately in the first phase called withholding, and continued through the phases of avoiding and ignoring, and struggling with and making sense of. These findings raise healthcare providers' awareness about developing and deteriorating nurse-client relationships, and support the value of the therapeutic relationship as an instrument to restore and promote clients' health.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.427
Teacher spread0.398 · 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