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Record W2569554456 · doi:10.1097/jnr.0000000000000203

Editor in Chief’s Address

2017· article· en· W2569554456 on OpenAlex
Shiow‐Luan Tsay, Yeur‐Hur Lai

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Nursing Research · 2017
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsAudience measurementPleasureChinaCitationNurse educationValue (mathematics)Library sciencePolitical scienceMedicineNursingPsychologyLaw

Abstract

fetched live from OpenAlex

It is a great pleasure to announce that the Journal of Nursing Research (JNR) has stepped into its 6th year since being indexed in both the Journal of Citation Report/Science Edition (SCI) and Social Science Edition (SSCI). JNR is the official journal of the Taiwan Nurses’ Association (TWNA). In order to better advance and inspire active interactions and scientific inquiry within and among the fields nursing, clinical practice, and nursing education, the journal began being published in English since 2001 and was successfully indexed in SCI and SSCI in 2012. Compared with many internationally recognized nursing journals, JNR is still in its infancy and growing. However, the continuous contribution and support of nursing researchers in Taiwan and internationally has led JNR to become one of the world’s most active nursing journals, attracting manuscript submissions from nursing researchers around the world. Furthermore, JNR‘s online edition continues to enjoy a rapidly increasing readership in both Western and Eastern countries, with the United States and Taiwan, respectively, providing JNR’s first and second largest readership, followed by Turkey, the UK, Iran, Australia, Canada, India, China, and South Korea. Both submission and research data support the important role of JNR in facilitating knowledge dissemination as well as reaffirm the journal’s scientific quality and value as an academic nursing journal. JNR is committed to further enhancing the growth and depth of evidence-based knowledge in nursing science, nursing education, and clinical practice. Therefore, the journal will be published as a bimonthly instead of a quarterly publication starting this year (2017). In addition to original articles, we will be publishing a larger number of reviews and perspective papers on important issues in nursing and healthcare in order to support our readers’ needs. Research to promote health and to overcome care problems, from acute to chronic and community care, will be addressed and discussed in JNR. Innovative studies that facilitate the performance of nursing education, nursing practice, and care-system quality represent important directions for the coming year and beyond. Furthermore, using high technology and informatics to enhance the quality of future care is a formative trend in healthcare and thus an important and growing target area for JNR’s scientific works. However, as always, qualitative inquiry that captures the precious living experiences in health and in illness will remain an important part of JNR as well. Finally, patient and nurse safety and violence-prevention issues are both important concerns in our daily practice and areas that deserve new knowledge and evidence-based improvement. JNR has built a solid foundation for disseminating nursing science over its first decade in English. We strongly believe that it will continue to grow and improve as an influential academic nursing journal, supporting the expansion of critical nursing knowledge and increased interactions among nurse clinicians, educators, students, and researchers as well as advancing nursing sciences and professionalism at multiple levels and across the healthcare spectrum.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.810

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.181
GPT teacher head0.504
Teacher spread0.323 · 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