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Record W2157265631 · doi:10.1177/1074840709351670

Highlights From the 9th International Family Nursing Conference

2009· article· en· W2157265631 on OpenAlexaff
Janice M. Bell

Bibliographic record

VenueJournal of Family Nursing · 2009
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNursingLibrary scienceMedicine

Abstract

fetched live from OpenAlex

The 9th International Family Nursing Conference held from June 2 to June 5, 2009, in Reykjavik, Iceland, was the first time that the International Family Nursing Conference was held in Europe (see Table 1 for a summary of the history of the International Family Nursing Conferences). More than 471 participants from 32 countries enjoyed the unforgettable beauty of Iceland and the opportunity to network with family nursing colleagues. I am still on a “high” from this wonderful Iceland conference. It was superbly hosted and organized by Dr. Erla Svavarsdottir of the University of Iceland and her colleagues. From the keynote, plenaries, preconference workshops, and paper and poster sessions, I was thrilled to learn about the progress of family nursing in Iceland and the world and loved the opportunity to see dear colleagues and make new friends. Pictures from the conference are posted on the conference Web site: http://www.ifnc2009.com/. Several of the plenary addresses offered at the 9th International Family Nursing Conference will be published over the coming months in the Journal of Family Nursing. One of the plenaries about knowledge translation in family nursing (Leahey & Svavarsdottir, 2009) is included in this issue. A book of selected papers from the conference is planned. The distribution of conference participants includes the following:

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)0.001
metaresearch head score (Gemma)0.001
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 score0.534
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.150
GPT teacher head0.428
Teacher spread0.278 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2009
Admission routes1
Has abstractyes

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