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Record W2974382822 · doi:10.7748/ns.2019.e10937

Promoting recruitment by rebranding the image of nursing

2019· erratum· en· W2974382822 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNursing Standard · 2019
Typeerratum
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Strategy and Culture
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRebrandingNursingPerceptionNursing shortageEconomic shortagePsychologyNurse educationBusinessPublic relationsMedical educationMedicinePolitical scienceMarketingGovernment (linguistics)

Abstract

fetched live from OpenAlex

Understanding the factors that can influence people to pursue a career in nursing is essential for healthcare service managers, human resource professionals and nurse educators, particularly given the global shortage of nurses. There is evidence that the public perception of nursing can be negatively influenced by the media and nursing recruitment advertisements, and that this can discourage some people from choosing nursing as a career. At the Dalhousie University in Canada, evidence regarding the career choices of prospective nurses was used to inform a rebranding strategy for the School of Nursing's recruitment materials. The aim of the rebranding strategy was to present the School of Nursing as a diverse institution that provided a range of career opportunities for its nursing students. This article describes the background and implementation of the rebranding project. It also details how the university's evidence-based rebranding strategy was designed to positively influence people to choose nursing as a career.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.517
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.027
GPT teacher head0.286
Teacher spread0.259 · 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