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Record W7008468459

Breast cancer rehabilitation: a mixed method inquiry of physical recovery and lived experiences

2014· dissertation· en· W7008468459 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2014
Typedissertation
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBreast cancerRehabilitationFocus groupQuality of life (healthcare)Physical disabilityCancerQualitative research
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this mixed method study was to determine the extent of physical problems, rehabilitation needs, and cancer rehabilitation experiences after breast cancer treatment. Women diagnosed with breast cancer were surveyed to examine physical morbidities, disability, and quality of life. An interpretive descriptive approach was used in the conduction of a focus group. The percentage of women experiencing physical problems after breast cancer treatment was high, physical disability was low and there was a moderately high quality of life. Despite the high report of physical problems, less than half received physical rehabilitation. Themes from the focus group data were difficulty in finding clear/consistent information, financial issues and the need for integration of cancer rehabilitation services. This research adds to the better understanding of cancer rehabilitation needs and practices and may be used to improve the delivery of cancer rehabilitation services to address the physical needs of breast cancer survivors.

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)0.013
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.003
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.276
Teacher spread0.258 · 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 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
Published2014
Admission routes1
Has abstractyes

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