The “Patient Patient”: The Trauma of Waiting and the Power of Resistance for People Living With Cancer
Bibliographic record
Abstract
In Canada's health care system today, cancer patients are expected to endure long, often painful wait times. In this study we explored whether Gilda's Club (an organization that supports people affected by cancer) might increase opportunities to resist the role of the "patient patient," consequently providing a better understanding of how cancer patients cope with the long wait times in Canada's time-crunched health care system. The research presented here provides examples of the painful waiting experience for cancer patients. Yet, this research also provides examples of patients refusing to be patient. We argue that organizations like Gilda's Club can provide a space that facilitates resistance and allows patients to become more informed and more participatory in decision-making processes. We conclude that these findings reflect a gap in cancer care in Canada that might be addressed through integrating organizations like Gilda's Club into standard medical practice for cancer patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.032 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".