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Record W2398446484

A message from Simone.

2000· article· en· W2398446484 on OpenAlexaff
Sherri Melrose, Bonnie Shapiro

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Practices
Canadian institutionsRoyal College of Physicians and Surgeons of CanadaMount Royal University
Fundersnot available
KeywordsComputer sciencePsychology
DOInot available

Abstract

fetched live from OpenAlex

Many health care professionals are concerned that, at a time of increased patient acuity, \nfew registered nurses are opting for mental health nursing as a career choice. Since \nstudent nurses' undergraduate experiences -- and their perceptions of these experiences -- \nmay well contribute to the problem, it is essential that we make every effort to welcome \nstudents to mental health wards. We use the voice of [Simone], a second year student, to \nillustrate how one nurse can make a very special difference to a student's experience and \nperception of mental health nursing, during her psychiatric mental health practicum. \nIn my second year, after a single class orientation on mental health nursing, I arrived on \nthe first day of my acute hospital psychiatric ward placement feeling completely \nunprepared and overwhelmed. In contrast to traditional psychiatric rotations that focus \nexclusively on mental health, many nursing education programs today offer an integrated \ncurriculum. In addition to attending a clinical placement site two days a week, I was also \nenrolled in required medical-surgical nursing classes and optional university credit \nsubjects. The academic demands on my time away from the unit were stringent and there \nseemed to be few resources that addressed mental health nursing. \nAs their mental health rotation progresses, students see a sophisticated interdisciplinary \nteam co-operating intensely for the welfare of the patient. They come to understand that \nstreet clothes can help break down barriers and that assessing affect is also a critical "vital \nsign." They see how skilled therapeutic use of self and suicide assessments are very \nserious matters that could mean the difference between a patient's tentative first steps \ntoward insightful mental health or a debilitating, even fatal, outcome. By the end of their \nclinical placement, students' language often includes a lexicon of new terms drawn from \nthe fields of medicine and counselling, as well as nursing. Their days become so full that \nthey struggle to find time to chart. Invariably, they leave their psychiatric mental health \npracticum with a deep respect for their patients and powerful new insights into the \npersistent stigma and marginalization associated with mental illness.

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)0.004
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0080.006
Open science0.0020.006
Research integrity0.0150.025
Insufficient payload (model declined to judge)0.0620.030

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 head0.077
GPT teacher head0.310
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2000
Admission routes1
Has abstractyes

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