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Record W4404025156 · doi:10.22215/cujs.v3i1.4921

Student Perceptions of Carleton University Mental Health Services

2024· article· en· W4404025156 on OpenAlexaff
Ella Creces, Amanda Bullock

Bibliographic record

VenueCarleton undergraduate journal of science. · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsCarleton University
Fundersnot available
KeywordsMental healthPerceptionPsychologyApplied psychologyMedical educationPsychiatryMedicine

Abstract

fetched live from OpenAlex

This Honours thesis is an exploration of student perceptions of Carleton University’s mental health services. There are a variety of issues facing emerging adults, such as the transition to post-secondary education, changing social roles, and difficulties surrounding the COVID-19 pandemic and online learning. These factors increased the need for effective mental health services. The research questions revolved around if participants accessed mental health services, if they found them helpful, and what stopped participants from accessing them. The data were examined using the thematic analysis. Results were collected during COVID-19 restrictions and revealed that most students did not access mental health services. Students who did access these services accessed two forms of mental health services: the disability centre and counselling services. The disability centre was largely found to be helpful, whereas opinions of counselling services were mixed. Forty-three percent of participants who did not access mental health services stated this was because they accessed services elsewhere or did not need them. This demonstrates that at least some of the remaining 57% may have not been able to access services when they needed them. This Honour’s thesis addresses how these services can better meet student needs and improve accessibility. This is novel research, which has not yet been discussed, which provides important information about improving these vital services.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.398
Teacher spread0.376 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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