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Record W2461023984 · doi:10.1016/j.proeng.2016.06.322

Statistical Analyses of Unidirectional Static Forces on Instrumented Rowing Oarlocks

2016· article· en· W2461023984 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

VenueProcedia Engineering · 2016
Typearticle
Languageen
FieldMedicine
TopicSports Performance and Training
Canadian institutionsWestern University
Fundersnot available
KeywordsRowingReliability (semiconductor)CalibrationSimulationEngineeringForce transducerPower (physics)MathematicsStatisticsAcousticsPhysics

Abstract

fetched live from OpenAlex

The PowerLine System includes instrumented rowing oarlocks, which measure athlete-applied forces during on-water rowing. Despite its international popularity, limited research has considered the quality engineering of the PowerLine system. Accordingly, the following research examined the convergent validity and test-retest reliability of the PowerLine force measurements. Unidirectional static forces of up to 431N were applied to nine sweep and eight scull oarlocks over fifteen days of testing. The differences between the PowerLine force measurements and the known static forces were statistically analyzed. The PowerLine force measurements were consistent over the fifteen days of testing, but were 2.0% ± 0.8 percentage points less than the quantities of the known applied forces. Although the differences between the experimental measurements and known applied forces corresponded with the manufacturer's specifications, calibration factors for each PowerLine oarlock were generated to correct for the minor discrepancies.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.195
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.031
GPT teacher head0.308
Teacher spread0.278 · 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