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Record W3162417968 · doi:10.1177/00302228211016219

Factors Associated With University Students’ Attitude Toward Euthanasia

2021· article· en· W3162417968 on OpenAlexaboutno aff
Rami Saadeh, Amani Banat, Dalia AbuZeina, Tasneem Al-Bourini, Eman Abdelqader, Nasr Alrabadi, Mahmoud A. Alfaqih, Mohammed Z. Allouh

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2021
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingPsychologyPositive attitudeQuarter (Canadian coin)Social psychologyAttitude changeClinical psychology

Abstract

fetched live from OpenAlex

Although euthanasia has been practiced for thousands of years, a wide controversy still exists around it. This study aimed to assess the attitude of university students toward euthanasia and its associated factors. The study included an online self-administered survey. Survey questions consisted of demographic information, psychological condition, and attitude toward euthanasia. A total of 1,188 students participated in the study. Approximately only one-third of the respondents (34.1%) viewed euthanasia as a moral practice, and just one-quarter (25.3%) supported legalizing it. The main reason for not supporting euthanasia was religious considerations (72.2%), followed by moral considerations (46.5%). Factors that predicted a positive attitude toward euthanasia (p < .05) included undefined religion, being male, feeling lonely, or having suicidal thoughts. Conclusively, the negative attitude toward euthanasia is primarily driven by religious beliefs. Furthermore, gender and psychological status play critical roles in students' attitudes toward euthanasia.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.243
GPT teacher head0.397
Teacher spread0.154 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueOMEGA - Journal of Death and DyingSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207