Shared Attributes of Responsibility and Emotion in Patients With Lung Cancer and Family Caregivers
Bibliographic record
Abstract
OBJECTIVES: To compare the attributions and emotions held by patients with lung cancer (affected individuals) and family caregivers in their management of the disease. . SAMPLE & SETTING: A secondary data analysis of 304 affected individuals and 304 family caregivers. Participants were selected from five oncology outpatient settings. . METHODS & VARIABLES: Comparative analysis and regression modeling. Variables include responsibility, anger, and pride in managing lung cancer. . RESULTS: Affected individuals reported higher self-oriented blame, fault, and anger than did family caregivers. Family caregivers reported more blame, fault, and anger toward the affected individual than toward themselves. Current smoking behavior of either the affected individual or family caregiver was associated with increased reports of self-oriented blame, fault, and anger. Additional research is needed to understand the attributional and emotional responses affected by the type of lung cancer, gender differences, and characteristics of the caregiving dyad. . IMPLICATIONS FOR NURSING: Nurses should be aware of the potential for affected individuals to experience internal (self) and external (family caregiver) sources of blame, fault, and anger. Knowledge of the reasons for current smoking behavior is important for understanding emotional responses and determining interventions.
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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 | 0.000 | 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 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".