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Record W4414402588 · doi:10.22215/cujs.v5i2.5330

Mediating Roles of Burdensomeness and Belongingness in the Link Between Social Support and Suicidal Behaviours among University Students

2025· article· en· W4414402588 on OpenAlexaffabout
Cândida Çaniçali Primo, Yan Liu, Sung-Min Oh

Bibliographic record

VenueCarleton undergraduate journal of science. · 2025
Typearticle
Languageen
FieldComputer Science
TopicEducation and Learning Interventions
Canadian institutionsCarleton University
Fundersnot available
KeywordsSuicidal ideationSocial supportMediationBelongingnessPath analysis (statistics)Suicide preventionProtective factorPoison control

Abstract

fetched live from OpenAlex

Suicide is a major health crisis worldwide, and the highest rates of suicidal ideation occur between 16 and 34 years old. However, there is a lack of research on suicidal behaviours among the Canadian university student population. To fill in this gap, this study aims to investigate the relationship between social support (SS) and suicidal behaviours (suicidal ideation and suicide attempts) among university students as well as the mediating effects of perceived burdensomeness (PB) and thwarted belongingness (TB). A total of 496 undergraduate students, recruited through Carleton University’s SONA system, responded to an online survey (Mage = 20, 67% female). Path analysis based on structural equation modelling was conducted to examine the mediation effects of PB and TB. Results showed that PB completely mediated the relationship between SS and suicidal behaviours, while TB only mediated SS and a binary suicidal ideation (presence vs. absence of suicidal ideation). The cultural factor did not moderate the relationship between social support and risk factors (PB and TB).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.014
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.307
Teacher spread0.290 · 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 teacher head, 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

Citations0
Published2025
Admission routes2
Has abstractyes

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