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Record W4323925054 · doi:10.14738/aivp.112.14137

The Measured Effects of Barbell Loading in a Flexed vs Neutral Lumbar Spinal Position: A Case Study

2023· article· en· W4323925054 on OpenAlexaff

Bibliographic record

VenueEuropean journal of applied sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsLumbarPhysical medicine and rehabilitationMedicinePhysical therapyIsometric exerciseLow back painBack painPsychologySurgery

Abstract

fetched live from OpenAlex

This case study looks at the physical and psychosocial effects of the lumbar spine under high loads in a macro-flexion (65°) and relative-neutral (29°) position during an isometric 45° hip hinge for up to 25 seconds. A 150kg/330lb weighted barbell used by a powerlifter was taken through 1 set of macro-flexion and relative-neutral. Tightness, discomfort, and pain, as well as when the pain reached a 7/10 VAS were measured. The examiner documented a time stamp for each symptom once verbalized by the participant. For set 1, symptoms became present at 2 seconds (tightness), 5 seconds (discomfort), and 14 seconds (pain) with the set ending at 21 seconds due to 7/10 pain and extreme discomfort reported. There was then a 10-minute pause for the participant to recover and prepare for the next lift. For set 2, only one symptom became present at 20 seconds (tightness), with no discomfort and no pain. This study demonstrates that loaded flexion has the potential to provoke lumbar tissues at a greater rate than a loaded neutral position.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score0.203

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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