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Record W3010642749

Fyzioterapie u golfistů s vertebrogenními obtížemi.

2012· dissertation· cs· W3010642749 on OpenAlexaboutno aff
Sendi Lagatorová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2012
Typedissertation
Languagecs
FieldSocial Sciences
TopicEducation, Psychology, and Social Research
Canadian institutionsnot available
Fundersnot available
KeywordsEMIEnvironmental sciencePsychologyComputer scienceElectromagnetic interferenceTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

Title: Physiotherapy with golf players having vertebrogenic disorders Objectives: The goal of the work is to find out and analyze, from selected foreign studies, the causes of the development of the most common pathologies in the lumbar area of the spine in adults, professionals and amateurs and based on the evaluation of the studies suggest appropriate physiotherapeutic procedures to be used as a prevention against low back pain (further LBP). Methods: The work is structured as a research, which has been created on the basis of an analysis of relevant sources. The literature, printed and electronic monographs, textbooks and specialized periodical were obtained from bibliographical databases, library catalogues and the Internet. The work contains foreign studies from USA, Canada, England and Australia. The studies were obtained from specialized medical databases: PubMed, PEDro, EBSCO. Results: The main cause of the development of LBP in golf players is the full golf swing, especially the modern type of swing. The following pathologies mainly develop in the lumbar area of the spine within the golf players: hypertonus paravertebral muscles, prolapses of intervertebral disc, fatigue vertebrae fracture and artrophaty of facet joints. In the prevention of LBP we use physiotherapeutic processes based on...

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

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 head0.025
GPT teacher head0.354
Teacher spread0.330 · 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
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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