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Record W2138614568 · doi:10.1177/0894318408329339

A Comparison of Two Nursing Theories in Practice

2009· review· en· W2138614568 on OpenAlexaff
Cindy McCarthy, Catherine Aquino‐Russell

Bibliographic record

VenueNursing Science Quarterly · 2009
Typereview
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsNursing theoryNursing practiceMeaning (existential)Perspective (graphical)ParsingInterpersonal communicationClinical PracticePsychologyNursingEpistemologyKey (lock)SociologySocial psychologyMEDLINEMedicineComputer sciencePsychotherapistArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

This column illuminates nursing practice through two unique theoretical perspectives: Peplau's theory of interpersonal relations and Parse's theory of humanbecoming. Processes of each practice method will be explicated as each is related to a practice scenario. The key differences between Peplau's and Parse's practice methodologies are identified. Nursing is a unique, evolving, everchanging profession for which theory can be used as a guide for practice. This column demonstrates two of these unique theories. Whether through health promotion or quality of life from the person's perspective, theory provides meaning in nursing practice and in everyday life.

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)0.012
metaresearch head score (Gemma)0.025
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.010
Science and technology studies0.0020.009
Scholarly communication0.0090.010
Open science0.0020.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.075
GPT teacher head0.482
Teacher spread0.407 · 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
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

Citations33
Published2009
Admission routes1
Has abstractyes

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