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Record W2901402220 · doi:10.3233/efi-180219

Systematic reviews: A brief historical overview

2018· article· en· W2901402220 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

VenueEducation for Information · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsMcGill UniversityQuebec Rehabilitation Research Network
Fundersnot available
KeywordsSystematic reviewPeriod (music)Engineering ethicsFoundation (evidence)Management scienceDiversification (marketing strategy)Scientific literaturePolitical scienceEngineeringBusinessMEDLINELaw

Abstract

fetched live from OpenAlex

Literature reviews, and more particularly systematic reviews, are increasingly being produced and published. The past 40 years have been marked by considerable development of methodologies and methods in literature reviews. This paper aims to provide a brief historical overview of systematic review s which will help to have a better understanding of what, why, when, and how they were developed. The paper is structured in three parts. The first part will provide a definition of systematic reviews and their main characteristics. The second part will present three main periods of the evolution of systematic reviews: foundation period (1970–1989), institutionalization period (1990–2000), and diversification period (2001–). These periods can be distinguished by the users of scientific evidence, the methodological influence, and the technological development. The last part will summarize the main elements in the history of the systematic reviews and present some direction for future research.

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)0.077
metaresearch head score (Gemma)0.095
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.525
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0770.095
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.021

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 head0.730
GPT teacher head0.544
Teacher spread0.186 · 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