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Record W2092038503 · doi:10.1155/2012/567058

Nurse Faculty Enrichment and Competency Development in Oral-Systemic Health

2012· article· en· W2092038503 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.

fundA Canadian funder is recorded on the work.
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

VenueNursing Research and Practice · 2012
Typearticle
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
FundersYork University
KeywordsMedicineCurriculumNursingWorkforceOral healthHealth promotionPromotion (chess)Nurse educationMedical educationFamily medicinePublic healthPsychologyPedagogy

Abstract

fetched live from OpenAlex

Nurses are positioned to play a significant role in oral health promotion and disease prevention across the life cycle. Oral health has not been a high priority in nursing practice, and educating nurses about oral health has been inadequate particularly regarding the interrelationship between oral health and overall health. The first step for developing a nursing workforce with core competencies in oral health promotion and disease prevention is to prepare nurse faculty with the requisite knowledge, skills, attitudes, and best practices in oral-systemic health. The purpose of this paper is to present Smiles for Life: A National Oral Health Curriculum as a knowledge framework that nurse faculty can use for faculty enrichment and competency development in oral health across the life cycle. A variety of teaching-learning strategies and resources are provided to assist nurse faculty with integrating oral-systemic health into existing nursing curricula.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.394

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.130
GPT teacher head0.498
Teacher spread0.369 · 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