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Record W2084130304 · doi:10.1177/000841740006700310

Replication Research: A Purposeful Occupation Worth Repeating

2000· article· en· W2084130304 on OpenAlexaffvenue
Jennifer Klein, Ted Brown, Mary Lysyk

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2000
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of OttawaUniversity of Alberta
Fundersnot available
KeywordsReplication (statistics)PsychologyGerontologyMedicineVirology

Abstract

fetched live from OpenAlex

It is common for researchers to request at the end of their published studies, the urgency for further studies to be completed. Unfortunately there are very few published studies that have replicated original studies. The purpose of this article is to provide a framework for understanding issues related to replication research that will assist occupational therapy researchers, clinicians, managers, students and educators to realize the importance of implementing and publishing replication research to establish evidence-based practice. Various areas related to replication research are explored. In addition, a computerized literature search using the search term 'replication' was completed. Only four articles published between 1982-1998 were discovered. This article concludes with recommendations to ensure replication studies are included in the occupational therapy literature and utilized in clinical practice.

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)0.557
metaresearch head score (Gemma)0.835
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.443
Threshold uncertainty score0.546

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.5570.835
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0130.007
Bibliometrics0.0150.012
Science and technology studies0.0090.048
Scholarly communication0.0140.021
Open science0.0090.010
Research integrity0.0180.025
Insufficient payload (model declined to judge)0.0070.008

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 head0.668
GPT teacher head0.614
Teacher spread0.055 · 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 designNot applicable
DomainReproducibility
GenreEmpirical

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

Citations9
Published2000
Admission routes2
Has abstractyes

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