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Qualitative meta‐synthesis: a question of dialoguing with texts

2006· article· en· W2081655360 on OpenAlexaff
Lela Zimmer

Bibliographic record

VenueJournal of Advanced Nursing · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Applications
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsQualitative researchEpistemologyArgument (complex analysis)Interpretation (philosophy)Phenomenology (philosophy)HermeneuticsSociologyComputer scienceManagement scienceEngineering ethicsPsychologySocial scienceMedicinePhilosophy

Abstract

fetched live from OpenAlex

AIMS: This paper discusses whether useful synthesis of research reports across different qualitative methodologies is possible, and whether qualitative meta-synthesis violates the tenets of the interpretive paradigm. BACKGROUND: Qualitative meta-synthesis is a recent development in qualitative inquiry that offers a means of enhancing the contribution of qualitative findings to the development of more formalized knowledge. However, there are a number of unanswered questions and areas that require debate. DISCUSSION: A brief overview of qualitative meta-synthesis as a method of inquiry is presented. The assumptions of phenomenology, ethnography and grounded theory are explored for their amenability to meta-synthesis and the possibility of coherent synthesis of findings across these methodologies. In addition, a summary of major philosophical commitments common to the interpretive paradigm is presented. Qualitative meta-synthesis as a methodology is then explored for its fit within this paradigm. An argument is made, with some caveats, for synthesis across qualitative methodologies. Gadamer's concepts of the hermeneutic circle, the fusion of horizons, and dialogue with the text are explored for the insight they provide into the place of qualitative meta-synthesis in inquiry. CONCLUSION: It is important for researchers to bring hermeneutic skill to the process of meta-synthesis in order to develop a comprehensive understanding of the various philosophical assumptions in which qualitative approaches are based. The particular challenge of combining analysis and interpretation from studies with markedly different approaches and intentions may prompt synthesists to create new and innovative approaches to the presentation of meta-synthesis.

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)0.668
metaresearch head score (Gemma)0.740
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.332
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6680.740
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0090.006
Bibliometrics0.0120.012
Science and technology studies0.0110.054
Scholarly communication0.0270.039
Open science0.0120.020
Research integrity0.0100.013
Insufficient payload (model declined to judge)0.0090.002

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 head0.135
GPT teacher head0.551
Teacher spread0.416 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
GenreMethods

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".

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Citations547
Published2006
Admission routes1
Has abstractyes

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