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Record W6962961174 · doi:10.17605/osf.io/nv6d5

Characteristics of nursing care expanded by Antroposophy: a scope review

2024· article· en· W6962961174 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2024
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)Inclusion (mineral)Health careNursing careData extractionNursing researchNarrative

Abstract

fetched live from OpenAlex

Objective: Mapping the characteristics of nursing care expanded by Anthroposophy in health services. Inclusion criteria: Scientific articles, monographies, dissertations and theses, without limitations regarding the health care scenario, geographic context, time frame or language limitation. Methods: This is a scoping review protocol, in accordance with the methodology of Joanna Briggs Institute, and the recommendations of PRISMA-ScR. Data searches will be carried out in Academic Search Premier (EBSCOhost), CINAHL, Der Merkurstab, DiVA; EMBASE, LILACS, MEDLINE, SciELO, SCOPUS, Web of Science, ScienceDirect, and in dissertation and theses catalogs such as BDTD, CAPES Catalog, CyberTesis, NDLTD, RCAAP, Theses Canada. The publications selections will be performed in pairs and independently via the Rayyan platform, with consultation of a third reviewer in case of disagreements, using own data extraction tool. The data will be presented in a flowchart and tables, accompanied by a narrative summary.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.069
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.069
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0300.037
Science and technology studies0.0010.002
Scholarly communication0.0060.006
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.318
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueOSF Preprints (OSF Preprints)→Same topicNursing education and management→French-language works237,207→