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Record W3174721421 · doi:10.19271/irons-00045-2017-20

THE WESTERN ONTARIO ROTATOR CUFF INDEX (WORC) - THE POLISH LANGUAGE VERSION THE POLISH LANGUAGE VERSION OF THE WORC

2017· article· en· W3174721421 on OpenAlexaboutno aff
Agnieszka Bejer, Mirosława Probachta, Marek Kulczyk, Sharon Griffin

Bibliographic record

VenueIssues of Rehabilitation Orthopaedics Neurophysiology and Sport Promotion – IRONS · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsRotator cuffIndex (typography)MedicineComputer scienceSurgeryWorld Wide Web

Abstract

fetched live from OpenAlex

Cuff (WORC) jest specyficznym narzędziem badawczym do oceny jakości życia pacjentów z różnymi problemami w obrębie stożka rotatorów.Badania podjęto ze względu na brak w Polsce tego typu narzędzia badawczego.Uzyskano zgodę na utworzenie wersji polskiej WORC od właściciela praw autorskich -Sharon Griffin. CelCelem niniejszej pracy jest przedstawienie etapów adaptacji lingwistycznej angielskiej wersji kwestionariusza WORC do wersji polskiej.Materiał i metody W procesie adaptacji wykorzystano rekomendowaną przez Mapi Research Institute procedurę tłumaczenia narzędzi badawczych, pozwalającą na zminimalizowanie błędów wynikających z przekładu.W proces tłumaczenia zaangażowani byli 2 tłumacze języka angielskiego i 1 nativespeaker od kilku lat mieszkający w Polsce oraz autorzy pracy.W celu ewaluacji dokonanego

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)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.106
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.007
GPT teacher head0.278
Teacher spread0.271 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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".

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Citations2
Published2017
Admission routes1
Has abstractno

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Same venueIssues of Rehabilitation Orthopaedics Neurophysiology and Sport Promotion – IRONSSame topicLanguage and CultureFrench-language works237,207