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Interpretive description: a viable methodological approach for nursing research

2018· article· en· W2790820714 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

VenueEscola Anna Nery · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEpistemologyReflection (computer programming)Nursing sciencePsychologyNursingSociologyManagement scienceMedicineComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract Objective: To present a theoretical reflection about the origin and the assumptions of the "Interpretive Description" method, and to discuss its applicability in Nursing and Health research. Method: Theoretical-reflective study, based on articles and books published by proponent of this approach, as well as scientific articles in which the authors reported having used this method in their studies. Results: It was evidenced that the "Interpretive Description" arose from the need to generate a better understanding of clinical practices in Nursing. This approach has its roots in the methodological traditions of the Social Sciences, although it differs from them in terms of its excessive rigidity and essentially theoretical objectives. The proposed method has been applied in several studies either in Nursing as other areas of Health. Conclusion: The "Interpretive Description" is considered a feasible approach for the production of knowledge in Applied Sciences such as Nursing.

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)0.002
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.505
GPT teacher head0.539
Teacher spread0.034 · 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