A model for incorporating specialist nurse education into a university context. Part 1: Methodological perspectives
Bibliographic record
Abstract
The education of nurses for specialist practice takes place mainly in nursing colleges. In view of ongoing debates about the future positioning of nursing education, an investigation regarding the incorporation of college-based specialist nurse education into universities was needed. The purpose of the study was to develop and describe a model for specialist nurse education in a university. The objectives were set in two phases: Phase 1 objectives were designed to enable the identifcation of concepts in relation to university education and Phase 2 objectives, to enable the development of a model for specialist nurse education in a university context. This paper gives an account of only the methodology used to meet the research purpose and objectives. It outlines the objectives of Phases 1 and 2, including a detailed description of the research design. In discussing the research design, particular attention was given to theory development. The research methods were described with reference to data collection methods and procedures, study samples and sampling methods, data analysis methods and processes, to ensure the trustworthiness of the study. The model is described in Part 2 of the article.OpsommingDie onderrig van verpleegkundiges in gespesialiseerde verpleegpraktyk vind hoofsaaklik in verpleegkolleges plaas. In die lig van die voortslepende debat rondom die toekomstige posisionering van verpleegonderrig is ondersoek na die inkorporering van spesialis vepleegopleiding aan universitieite as noodsaaklik geag. Die doel van hierdie studie was om die model vir gespesialiseerde vepleegopleiding aan universitiete te ontwikkel en te beskryf. Die navorsingsdoelwitte is geformuleer aan die hand van twee fases. Die doelwitte in Fase 1 was ontwerp om die konsepte betreffende universiteitsopleiding te identifseer. Die doelwitte in Fase 2 was op die ontwikkeling van ’n model vir die onderrig in gespesialiseerde verpleegkunde aan ’n universiteit gerig. Hierdie artikel gee ’n oorsig oor slegs die metodiek wat gebruik is om die doel en navorsingsdoelwitte te bereik. Dit verskaf ’n oorsig oor Fase 1 en 2 en sluit ’n omvattende beskrywing van die navorsingsontwerp in. In die bespreking van die navorsingsontwerp word spesifeke aandag aan teoriegenerering gewy. Die navorsingsmetodes word beskryf met verwysing na data insamelingsmetodes-en-prosedures, die steekproef, en steekproefmetodes, data analiseringsmetodes-en-prosedures wat die betroubaarheid van die studie verseker het. Die model word in Deel 2 van die artikel beskryf.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".