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Record W7106324540 · doi:10.5683/sp3/qwlxxm

Foot, Talocrural Joint, and Ankle-Foot Unified Deformable Power from Walking and Running

2025· dataset· W7106324540 on OpenAlexaff

Bibliographic record

VenueBorealis · 2025
Typedataset
Language
Field
Topic
Canadian institutionsUniversity of AlbertaQueen's University
Fundersnot available
KeywordsKinematicsPower (physics)Foot (prosody)ArchGround reaction forceBiomechanics

Abstract

fetched live from OpenAlex

The dataset provides the experimental data presented in: "Reconciling how positive foot power drives the arch recoil mechanism" (in review). It includes power produced by the structures in the foot, talocrural joint, and ankle-foot during walking and running, calculated using the unified deformable power model. Additionally, it contains the "rotational" and "translational" components of the foot power, which is used in our paper to explain our results. Experimental collection included bone kinematics from biplanar videoradiography image sequences of the right foot time- and space- synced with ground reaction forces. It was collected in 2019 in the Skeletal Observation Lab at Queen's University.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0140.024

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 head0.017
GPT teacher head0.250
Teacher spread0.233 · 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
GenreDataset

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

Citations0
Published2025
Admission routes1
Has abstractyes

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