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Record W2050835672 · doi:10.1002/nur.10086

An alternative paradigm for clinical nursing research: An exemplar

2003· article· en· W2050835672 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch in Nursing & Health · 2003
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Toronto
FundersNational Institute of Nursing Research
KeywordsGeneralizability theoryIntervention (counseling)Psychological interventionParadigm shiftRandomized controlled trialClinical trialResearch designNursing researchPerspective (graphical)Outcome (game theory)Management scienceConceptual frameworkMedicinePsychologyNursingComputer scienceSociologyEpistemologyArtificial intelligence

Abstract

fetched live from OpenAlex

Effectiveness research is undertaken to evaluate the effects of interventions in achieving desired outcomes when tested in the real-world conditions of everyday practice. Although the randomized clinical trial (RCT) is considered the gold standard for effectiveness research, its feasibility, generalizability, and the clinical utility of its results are being questioned. This state of the science prompted the call for a paradigm shift, characterized by alternative methods for clinical research. The alternative methods attempt to account for clinical realities when conducting research, with the goal of minimizing discrepancies in the perspective and assumptions underlying practice and research. In this article a theory-driven approach to intervention evaluation is presented as a viable alternative paradigm for clinical research. The application of this approach demands changes in four aspects of research: participant selection criteria, assignment to treatment options, delivery of the intervention, and selection of outcome measures. The changes are discussed at the conceptual level and illustrated with examples from an ongoing multisite study aimed at determining the usefulness of this theory-driven approach to intervention evaluation.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptMetaresearch
Domain: Methods · Genre: Methods
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.159
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1590.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0060.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.005
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 head0.940
GPT teacher head0.849
Teacher spread0.092 · 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