The salience of existential concerns across the cancer control continuum
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
Despite significant improvement in cancer survival, the fear of death still remains rooted in individuals' beliefs about cancer. Existential fears pertaining to cancer cut across the cancer control continuum and taint decisions related to prevention, screening, surveillance, and follow-up recommendations, as well as the overall management of cancer-related issues. However, individuals are innately predisposed to cope with their cancer-related fears through mechanisms such as reliance on the process of meaning making. To better appreciate the potential impact of existential concerns across the cancer control continuum, the Temporal Existential Awareness and Meaning Making (TEAMM) model is proposed. This tripartite model depicts three types of perceived threats to life related to cancer including a "social awareness" (i.e., cancer signals death), "personalized awareness" (i.e., I could die from cancer), and the "lived experience" (i.e., It feels like I am dying from cancer). This construal aims to enhance our understanding of the personal and contextual resources that can be mobilized to manage existential concerns and optimize cancer control efforts. As such, existential discussions should be considered in any cancer-related supportive approach whether preventive, curative, or palliative, and not be deferred only until the advanced stages of cancer or at end of life. Further delineation and validation of the model is needed to explicitly recognize and depict how different levels of existential awareness might unfold as individuals grapple with a potential, actual, or recurrent cancer.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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