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Record W2060504388 · doi:10.1188/13.cjon.e71-e76

Resources for Physical Activity in Cancer Centers in the United States

2013· article· en· W2060504388 on OpenAlexaff
Kristina H. Karvinen, Lucas J. Carr, Clare Stevinson

Bibliographic record

VenueClinical journal of oncology nursing · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsNipissing University
Fundersnot available
KeywordsMedicineCancerFamily medicineNursingOncology nursingPhysical activityGerontologyPhysical therapyInternal medicineNurse education

Abstract

fetched live from OpenAlex

Physical activity (PA) has many benefits for cancer survivors. However, the available PA resources for survivors at cancer centers throughout the United States are undocumented. The current study surveyed major cancer centers concerning the availability and types (e.g., facilities, programs, counseling, information resources) of PA resources available. Of supportive care services, PA resources were the least commonly reported. Significant correlations were found among availability of PA resources and other supportive care services. Although many cancer centers reported offering PA programming, formal and informal PA guidance and support seem to fall on oncology nurses and other clinicians. Oncology nurses should be reminded that they may be one of the only sources of PA guidance available to survivors at cancer centers.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.104
GPT teacher head0.483
Teacher spread0.379 · 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 designObservational
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

Citations13
Published2013
Admission routes1
Has abstractyes

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