The impact of breast cancer among Canadian women: Disability and productivity
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
Each year over 20,000 Canadian women are diagnosed with breast cancer. Many breast cancer survivors anticipate a considerable number of years of potential participation in the paid labour market, therefore, the link between breast cancer survivorship and productivity deserves serious consideration. The hypothesis guiding this study is that arm morbidities such as lymphedema, pain, and range of motion limitations are important explanatory variables in survivors' loss of productivity. The study draws from a larger longitudinal research project involving over 600 breast cancer survivors in four geographical locations across Canada. The study's regression results indicate that, after adjusting for fatigue, breast cancer stage, and geographical location, survivors with range of motion limitations and arm pain are more than two and half times as likely to lose some productivity capacity as compared to counterparts with no arm morbidity. The findings make a compelling argument for the necessity of adequate rehabilitation programs delivered at crucial times in breast cancer survivors' recovery. The study's unexpected finding that geographical location is a highly significant predictor of changes in productivity among breast cancer survivors is interpreted as a factor of the regulatory framework governing employment relationships in the four different jurisdictions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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