The development of anti-cancer programs in Canada for the geriatric population: an integrated nursing and medical approach
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
Cancer control in Canada refers to the development of comprehensive programs utilising modern techniques, tools and approaches that actively prevent, cure or manage cancer. The scope of such programs is quite vast. They range from prevention, early detection and screening, comprehensive treatment both curative and palliative to comprehensive palliative care. Cancer is a disease associated with the aging population, and as the population ages the incidence of cancer would be expected to rise as well. This in itself poses a great challenge. In addition, the aging population demographics with the projected rise in the numbers of senior citizens, especially the over 80 group in the next decade, poses its own creative challenges to health planners. In Canada, health care is centrally administered, and controlled by the provincial governments of Canada, under the Canada Health Act. The challenge of developing comprehensive programs for the geriatric population requires changes in the care models and care pathways. The patient-centred models that have been adapted require a multidisciplinary approach to the clientele and their families that integrates cancer therapy and geriatric care and realities. This requires changes in the nursing and medical approach, as well as education in the subtleties of the two intersecting medical realities.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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