The Relationship between Death Anxiety, Level of Optimism and Religiosity among Adult Cancer Patients: A Predictive Study
Bibliographic record
Abstract
The present study aimed to examine the relationship between death anxiety, optimism and religiosity among cancer patients. The sample consisted of (42) adults who were all suffering from cancer. Three main scales namely, death anxiety scale, optimism scale and religiosity scale were developed by the researcher and then used in the present study to collect data. Pearson Correlation Coefficient (-0.38) showed that the relationship between death anxiety and optimism was statistically significant. On the other hand, the relationship between death anxiety and religiosity was also statistically significant as Pearson Correlation Coefficient was (-0.34). Furthermore, regression and prediction coefficients (stepwise) showed that death anxiety could be predicted by optimism and religiosity. therefore the need for the preparation of programs for the counseling for cancer patients to reduce the death anxiety fells and increase their level of optimism.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".