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Single‐subject research design: recommendations for levels of evidence and quality rating

2008· article· en· W1970104120 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

VenueDevelopmental Medicine & Child Neurology · 2008
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of British Columbia
FundersAmerican Academy for Cerebral Palsy and Developmental Medicine
KeywordsSubject (documents)Research designEvidence-based medicineMedicineRigourQuality (philosophy)MEDLINERandomized controlled trialAlternative medicineMedical educationCerebral palsyClinical study designPsychologyClinical trialMedical physicsComputer sciencePhysical therapyPathologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

The aim of this article is to present a set of evidence levels, accompanied by 14 quality or rigor questions, to foster a critical review of published single-subject research articles. In developing these guidelines, we reviewed levels of evidence and quality/rigor criteria that are in wide use for group research designs, e.g. randomized controlled trials, such as those developed by the Treatment Outcomes Committee of the American Academy for Cerebral Palsy and Developmental Medicine. We also reviewed methodological articles on how to conduct and critically evaluate single-subject research designs (SSRDs). We then subjected the quality questions to interrater agreement testing and refined them until acceptable agreement was reached. We recommend that these guidelines be implemented by clinical researchers who plan to conduct single-subject research or who incorporate SSRD studies into systematic reviews, and by clinicians who aim to practise evidence-based medicine and who wish to critically review pediatric single-subject 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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
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 head0.573
GPT teacher head0.452
Teacher spread0.121 · 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