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Record W2170429443 · doi:10.12927/cjnl.2005.17835

Registered Nurse and Registered Practical Nurse Evaluations of Their Hospital Practice Environments and Their Responses to These Environments

2005· article· en· W2170429443 on OpenAlexaffvenueabout
Ann E. Tourangeau, Anne Coghlan, Judith Shamian, Sarah Evans

Bibliographic record

VenueNursing leadership · 2005
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNursingBurnoutRegistered nurseJob satisfactionNurse educatorNurse educationMedicineNursing practicePsychologyNursing staffClinical psychology

Abstract

fetched live from OpenAlex

In 2003, over 13,000 Ontario nurses were surveyed to explore how they evaluated their hospital work environments and their responses to these practice environments. The purpose of this paper is to describe and compare these nurses' evaluations and responses. Sixty-five percent of nurses who were mailed surveys completed and returned a survey. Significant differences were found between registered nurse and registered practical nurse characteristics such as mean age, full-time employment rates, mean years of nursing experience and proportion enrolled in university or college educational programs. Both groups reported weak professional practice environments; however, there were some significant differences between the evaluations by registered nurses and those of registered practical nurses. Although both groups reported weak job satisfaction and moderate levels of burnout, there were significan differences in other responses. Study findings have implications for managing and leading nurses and for strengthening human resources practices.

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)0.003
metaresearch head score (Gemma)0.011
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.218
GPT teacher head0.443
Teacher spread0.225 · 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

Citations35
Published2005
Admission routes3
Has abstractyes

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