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Record W3044527027 · doi:10.1177/0844562120938940

Recognizing Excellence in Knowledge Dissemination: The Nursing Journal Hall of Fame

2020· article· en· W3044527027 on OpenAlexvenueno aff
Leslie H. Nicoll

Bibliographic record

VenueCanadian Journal of Nursing Research · 2020
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsExcellenceTributeTransformative learningNursingNursing literatureNurse educationMedicineSociologyPolitical scienceAlternative medicineLawPedagogy

Abstract

fetched live from OpenAlex

Nursing knowledge and innovations are disseminated primarily through peer-reviewed publications in scholarly journals. At the present time, there are approximately 250 journals in the profession of nursing, representing all specialties and an international, global focus. Of this group, 25 have been honored by induction into the Nursing Journal Hall of Fame, which was established by the International Academy of Nursing Editors in 2018. This article introduces the Hall of Fame and the journals that have been inducted to date. Hall of Fame journals have a sustained publication history of 50 years or more and represent excellence in nursing through the articles published and journal editorial leadership. Studying the history of this group of journals reveals trends within different specialties as well as the profession of nursing overall. For many of the journals, there were particular editors who were visionary and transformative. Knowing their stories is important for the historical record of nursing publication. Celebrating nursing journal history through the Hall of Fame and understanding the unique leadership role of nursing editors, past and present, is an important and fitting tribute to nursing knowledge during the Year of the Nurse and Nurse Midwife in 2020.

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 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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.192
GPT teacher head0.453
Teacher spread0.261 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations3
Published2020
Admission routes1
Has abstractyes

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