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Record W2562851231 · doi:10.1177/1049732316679370

Metasynthetic Madness

2016· editorial· en· W2562851231 on OpenAlexaff
Sally Thorne

Bibliographic record

VenueQualitative Health Research · 2016
Typeeditorial
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScholarshipCLARITYCredibilityQualitative researchStandardizationSociologyEpistemologyPsychologyEngineering ethicsPublic relationsPolitical scienceSocial scienceEngineeringLawPhilosophy

Abstract

fetched live from OpenAlex

From its origins in the 1990s, the qualitative health research metasynthesis project represented a methodological maneuver to capitalize on a growing investment in qualitatively derived study reports to create an interactive dialogue among them that would surface expanded insights about complex human phenomena. However, newer forms positioning themselves as qualitative metasynthesis but representing a much more technical and theoretically superficial form of scholarly enterprise have begun to appear in the health research literature. It seems imperative that we think through the implications of this trend and determine whether it is to be afforded the credibility of being a form of qualitative scholarship and, if so, what kind of scholarship it represents. As the standardization trend in synthesis research marches forward, we will need clarity and a strong sense of purpose if we are to preserve the essence of what the qualitative metasynthesis project was intended to be all about.

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)0.083
metaresearch head score (Gemma)0.272
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.917
Threshold uncertainty score0.440

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0830.272
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0100.006
Science and technology studies0.0050.016
Scholarly communication0.0170.015
Open science0.0070.006
Research integrity0.0110.028
Insufficient payload (model declined to judge)0.0060.003

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 head0.976
GPT teacher head0.805
Teacher spread0.171 · 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.

Study designNot applicable
DomainMethods
GenreEditorial

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

Citations129
Published2016
Admission routes1
Has abstractyes

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