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Record W7074161487

Experiences of an Exercise Program: Perspectives from Breast Cancer Survivors

2021· article· en· W7074161487 on OpenAlexfundaboutno aff

Bibliographic record

VenueNSUWorks (Nova Southeastern University) · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
FundersFondation du cancer du sein du QuébecFondation de la recherche en santé du Nouveau-Brunswick
KeywordsNucleofectionTSG101Gestational periodHyporeflexiaLiquationDysgeusiaArticular cartilage damageDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

Few studies have examined how breast cancer survivors experience an individually tailored group exercise program designed to help mitigate physical and psychosocial challenges and improve health outcomes. This research used qualitative interviews to provide insight into what motivates breast cancer survivors to join an exercise program, what they hope to gain from exercise programs, the barriers they experience to participation, and their overall satisfaction with the program. Thirty-three breast cancer survivors from Atlantic Canada completed semi-structured, qualitative interviews following the completion of a twelve-week supervised exercise program, and thematic analysis was applied to transcripts of the interviews. Our findings suggest of the participants generally enrolled in the program, in hopes of increasing energy levels and muscular strength, most reported increases in both outcomes by the end of the program, and obstacles to participation included fatigue, poor physical health, and access challenges.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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.

Study designQualitative
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
Published2021
Admission routes2
Has abstractyes

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