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Record W7047168767

Ergonomik Risk Taşıyan Masa Başı Çalışanlarda Skapular Hareket Bozukluklarının İncelenmesi

2016· dissertation· en· W7047168767 on OpenAlexaboutno aff

Bibliographic record

VenueEastern Mediterranean University Institutional Repository (Eastern Mediterranean University) · 2016
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)Human factors and ergonomicsRisk assessmentAffect (linguistics)Quality assessmentOccupational safety and health
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to assess the scapular dyskinesis, pain, neck and shoulder disability, posture and quality of life in office workers in TRNC according to ergonomic principles of participants and compare the differences between groups. As a result of ergonomic risk assessment two groups have been determined that 1. group not need to immediate change and 2. group need to further investigation and changes of are required soon. Ergonomic risk assessment has been evaluated, Rapid Upper Limb Assessment (RULA); for scapular dysfunction, Lateral Scapular Slide Test (LSST); for the assessment of pain, Short Form of the McGill Pain Questionnaire (SF-MPQ); for disability, Quick Disabilities of Arm, Shoulder & Hand (Q- DASH) and Neck Disability İndex (NDİ); for posture analysis, photographic method; and for quality of life ,The Short Form 36 Health Survey (SF-36) were applied. According to the comparison between the groups, significant differences were determined at pain, disability and quality of life in the 2. group (p<0.05). Consequently, pre-determining the occupational risk factors that negatively affect the musculoskeletal system, raising awareness, ergonomic training for the correct working posture and proper body mechanics of office workers is important as in all professions.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0030.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.211
Teacher spread0.196 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
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

Citations1
Published2016
Admission routes1
Has abstractyes

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