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Record W1992082751 · doi:10.2202/1548-923x.1281

Career Intentions of Nursing Students and New Nurse Graduates: A Review of the Literature

2006· review· en· W1992082751 on OpenAlexaff
Laureen Hayes, Carole Orchard, Linda M. Hall, Vera Nincic, Linda O’Brien‐Pallas, Gavin J. Andrews

Bibliographic record

VenueInternational Journal of Nursing Education Scholarship · 2006
Typereview
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsWestern UniversityMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsNursingGraduation (instrument)Nurse educationTeam nursingAffect (linguistics)PerceptionHealth careNursing researchWork (physics)PsychologyMedicineMedical education

Abstract

fetched live from OpenAlex

This paper highlights findings from a literature search to examine the role of nursing education in preparing nurses to meet healthcare demands. The review focused on nursing students' perceptions of nursing and whether these views change during their nursing studies and impact workplace preferences. Nursing students often enter their program with preconceived ideas of where they want to work following graduation. Large urban hospitals were favored over community care because of the perceived opportunities for support. Of particular importance were the negative views relating to care of elderly patients. Unless attitudes are changed during their nursing studies, they may affect initial job selection. Implications for nursing education include provision of educational experiences that foster an optimistic career outlook in areas where there is a growing need for nursing services. More research is needed to determine how to enable appropriate learning experiences when there are limited resources and practice placements.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.945
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.278
GPT teacher head0.571
Teacher spread0.293 · 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 designOther design
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

Citations72
Published2006
Admission routes1
Has abstractyes

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