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Record W2943182944

Help-seeking behaviours of university students in a Northern Ontario community

2018· dissertation· en· W2943182944 on OpenAlexaboutno aff
Sophie J. Nash

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2018
Typedissertation
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCommunity collegePsychologyGeographyLibrary scienceMedical educationMathematics educationPedagogyMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

Prevalence rates for mental illness are high for Canadian youth 15-24 years old and for those
\nliving in northern and rural populations; however, a concerning portion of youth in need do not
\naccess mental health services. Although university student populations have higher prevalence
\nrates than the general population, little is known about how Canadian university students seek
\nhelp for mental health issues and the barriers they may face. This mixed-methods study
\nexamined the help-seeking attitudes, intentions, barriers-to-care, depressive symptomology, and
\nhelp-seeking experiences of a sample of 61 undergraduate university students in the Northern
\nOntario community of Sudbury, Ontario. There was a total of 61 participants for this study. All
\nparticipants completed a questionnaire package and seven of the participants volunteered to
\nengage in an additional semi-structured interview. The overall sample had moderately positive
\nattitudes toward help-seeking. Students who had accessed services were more likely to seek help
\nfrom professional mental health services, had experienced more barriers-to-care, and had higher
\nBDI-II scores than students who had not accessed services. Students not accessing care were
\nmore likely to seek help from their parents. There were no differences in the types of barriers
\nfaced between users vs. non-users of mental health services. Using thematic analysis, three
\nprimary themes were identified from the interview data: 1) Important factors in mental health
\ncare; 2) Experiences with mental health professionals and services; and 3) Barriers to accessing
\nmental health care. The findings may help direct future research and endorse the need to further
\nrefine outreach interventions and available mental health services to promote student
\nengagement with treatment at universities across Ontario.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.335
Teacher spread0.306 · 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.

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
Published2018
Admission routes1
Has abstractyes

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