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Record W1849810851 · doi:10.1300/j077v20n04_01

Understanding the Barriers to Physical Activity for Cancer Patients

2002· article· en· W1849810851 on OpenAlexaff
Lawrence R. Brawley, S. Nicole Culos‐Reed, Jennifer Angove, Laurie Hoffman‐Goetz

Bibliographic record

VenueJournal of Psychosocial Oncology · 2002
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of CalgaryUniversity of Waterloo
Fundersnot available
KeywordsQuality of life (healthcare)CompromiseAffect (linguistics)MedicinePhysical activityDiseasePhysical therapyPsychologyGerontologyNursingPolitical science

Abstract

fetched live from OpenAlex

For individuals who experience cancer, regular adherence to physical activity has been shown to provide benefits ranging from alleviation of symptoms to improvements in physical function and quality of life. However, research about barriers to participation that compromise adherence and subsequent benefits has been identified as needed. The purposes of this article were to (1) systematically review the barriers to research and make recommendations, (2) consider unique symptoms of disease and treatment regarding their barrier-related impact on exercise therapy, and (3) present an organizational framework that will aid the investigation and understanding of barriers as they affect adherence to prescribed exercise therapy for cancer treatment and recovery.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.105
GPT teacher head0.395
Teacher spread0.290 · 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 designNot applicable
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

Citations57
Published2002
Admission routes1
Has abstractyes

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