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Record W2137187783 · doi:10.1177/1527154413481811

Nurses Amidst Change

2013· review· en· W2137187783 on OpenAlexaff
Kim McMillan, Amélie Perron

Bibliographic record

VenuePolicy Politics & Nursing Practice · 2013
Typereview
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOrganizational changeResistance (ecology)Change management (ITSM)Managing changeOrganisational changeTheory of changeSociologyEngineering ethicsPsychologyEpistemologyPublic relationsPolitical scienceEngineeringOperations management

Abstract

fetched live from OpenAlex

This article aims to clarify the concept of change fatigue and deems further exploration of the concept within the discipline of nursing is relevant and necessary. The concept of change fatigue has evolved from the discipline of management as a means to explore organization change and its associated triumphs and failures. Change fatigue has typically been described as one and the same as change resistance, with very little literature acknowledging that they are in fact distinct concepts. Concept clarification has highlighted the striking differences and few similarities that exist between the concepts of change fatigue and change resistance. Further exploration and subsequent research on the concept of change fatigue is needed within the discipline of nursing. The concept not only presents new and alternative perspectives on the processes of organization change, but provides opportunity for theory development that recognizes the impact organizational change has on nurses' work lives.

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)0.009
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0040.005
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.002

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 head0.270
GPT teacher head0.607
Teacher spread0.337 · 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

Citations94
Published2013
Admission routes1
Has abstractyes

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