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Record W2001916832 · doi:10.1177/1527154404269099

Cause Celebre: Georgetown University Hospital’s Journey to Magnet

2004· article· en· W2001916832 on OpenAlex
Joyce E. Johnson, Molly Craig Billingsley, Cheryl May, Linda Costa, Kate Hanson

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.

Bibliographic record

VenuePolicy Politics & Nursing Practice · 2004
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsGeorgetown Hospital
Fundersnot available
KeywordsCredentialingNursingHealth carePublic relationsSociologyMedicinePolitical scienceMedical educationLaw

Abstract

fetched live from OpenAlex

Designation as a magnet organization by the American Nurses Credentialing Center is a coveted distinction for health care organizations. These organizations experience fewer problems with nurse recruitment and retention because they have been found to be good places to practice professional nursing. Better patient outcomes have also been documented in these organizations. In this article, the authors recount their 3-year experience leading an organization successfully to become the first magnet organization in the nation’s capitol. The magnet application and review process is linked to the core principles of organization development. The authors conclude with policy recommendations for other organizations that are just beginning their journey to achieving magnet status and with reflections on leadership and the value created by participating in the magnet program.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.027
GPT teacher head0.352
Teacher spread0.325 · 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