Undergraduate Students’ Beliefs About Different Unusual End-of-Life Phenomena
Bibliographic record
Abstract
Ninety-seven undergraduate students responded to a survey regarding their beliefs about unusual end-of-life phenomena (EOLP). Previous studies have examined beliefs about EOLP collectively (i.e., as a single entity). The purpose of this study was to examine participants' beliefs about different EOLP separately. To that end, participants responded "yes", "no", or "unsure" to 36 statements about 18 different EOLP (two statements for each phenomenon). The results revealed that participants believed in some EOLP (e.g., 62% believed that pets behave strangely when their owner is about to die), disbelieved in some EOLP (e.g., 78% disbelieved that clocks and watches can stop when someone dies), and were uncertain about still others (e.g., 44% were unsure whether a dying person's deceased loved ones will be there to collect them when they die and take them on a journey to the afterlife). Limitations are discussed and suggestions for future research are offered.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".