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Record W4388198390 · doi:10.1080/02703181.2023.2273859

Punching Parkinson’s: The Experience of No-Contact Boxing among Older Adults Living with Parkinson’s Disease

2023· article· en· W4388198390 on OpenAlex
Jonathan S. Lin, Patrícia Belchior

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

VenuePhysical & Occupational Therapy In Geriatrics · 2023
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalMcGill University
Fundersnot available
KeywordsParkinson's diseasePhysical medicine and rehabilitationPsychologyGerontologyDiseaseAffect (linguistics)CognitionMedicinePhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Introduction No-contact boxing is becoming a popular exercise-based program to improve symptoms of Parkinson’s Disease (PD), with growing scientific evidence. While many studies have demonstrated its physical, cognitive, and social benefits, fewer studies have focused on how participants perceive its benefits on everyday activities.Aims This exploratory study aimed to investigate participants’ experiences with no-contact boxing and self-perceived improvement in the completion of everyday tasks.Methods A descriptive qualitative design was used. Two focus groups were conducted.Results Nine participants completed the study. Six themes emerged: (1) Camaraderie in the group creates a sense of social connection, (2) Self-perceived improvement in self-care and productivity (3) Positive experience due to the program approach, (4) Self-perceived physical and mental benefits, (5) Punching the bag as a symbolic of fighting PD, and (6) Increased motivation to pursue other exercise programs.Conclusions No-contact boxing brings many self-perceived benefits to older adults living with PD.

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)0.001
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 score0.015
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.025
GPT teacher head0.349
Teacher spread0.323 · 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