Involving people affected by cancer in research: a review of literature
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.
Bibliographic record
Abstract
The purpose of the literature review was to find out why people affected by cancer have been involved in research; how they have been involved and the impact of their involvement. We used systematic methods to search for literature, applied inclusion and exclusion criteria, conducted a quality appraisal, selected relevant data from the included articles for analysis, and provided a narrative summary of these data. The literature shows that people affected by cancer, particularly women with breast cancer, have been involved in a range of research programmes, projects and initiatives especially in the USA, UK, Canada and Australia. Their involvement has impacted upon research design, accrual and response rates. There is increasing recognition of the need for an infrastructure, including formal recruitment procedures, training and mentoring, to support an agenda of involvement and a need to challenge the ethos of traditional research, which does not easily lend itself to this agenda. Further critique of the role of 'experiential knowledge' in research is required so that researchers and people affected by cancer can work in partnership.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it