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Record W2562851231 · doi:10.1177/1049732316679370

Metasynthetic Madness

2016· editorial· en· W2562851231 on OpenAlex
Sally Thorne

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

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.

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)0.861
metaresearch head score (Gemma)0.717
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.8610.717
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0110.003
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0070.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0440.122

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