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Record W1527161599

Prescription d'exercices specifiques pour la spondylite ankylosante: une etude de cas.

2001· article· fr· W1527161599 on OpenAlexfundno aff
Martin Descarreaux, Jean‐Sébastien Blouin, Martin Normand, Daniel Hudon

Bibliographic record

VenueLe dépôt institutionnel (Université du Québec à Trois-Rivières) · 2001
Typearticle
Languagefr
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
FundersFondation Chiropratique du QuébecUniversité du Québec à Trois-Rivières
KeywordsAnkylosing spondylitisExtensibilityTrunkMedicineRange of motionPhysical therapyPhysical medicine and rehabilitationPopulationComputer scienceSurgery
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Ankylosing spondylitis (AS) produces gradual ossification in articular components of the sacro-iliac joints, spine, thoracic and scapular region. This pathology features a diminution of range of motion, muscle force and extensibility as well as functional capacities. Actual treatment of ankylosing spondylitis includes exercise program aimed at pain control, restoration of normal muscle force and extensibility and improvement in functional capacities. These programs are designed to adapt to the special characteristics of ankylosing spondylitis population. CASE STUDY: We present the case of a 30 years old man suffering from AS who participated in a 10 week exercise program based on his personal characteristics. We evaluated changes in trunk and hip muscle force and extensibility, pain level (visual pain scale) and disability level (Modified Oswerstry questionnaire). CONCLUSION: He showed improvement of some physical characteristics that were deficient in the initial evaluation. Improvement were noted in trunk range of motion, some muscular group forces and extensibility of certain muscles too.

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)0.000
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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.223
Teacher spread0.208 · 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 designCase report
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

Citations2
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueLe dépôt institutionnel (Université du Québec à Trois-Rivières)Same topicSpondyloarthritis Studies and TreatmentsFrench-language works237,207