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Supporting Student Wellness: “De-stressing” Initiatives at Memorial University Libraries

2016· article· en· W2334672612 on OpenAlexaffvenueabout
Crystal Rose, Krista Godfrey, Kathryn Rose

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMental healthAnxietyPsychologyCoping (psychology)Medical educationMedicinePsychiatry

Abstract

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Student mental health and wellness is a critical issue facing institutions of higher education across Canada. Mental illness is predicted to be the leading cause of disability at Canadian universities. This article looks at some of the recent data on how mental health issues such as stress, anxiety and depression are affecting academic performance. There is growing consensus amongst university administrators that student mental health is a campus-wide responsibility. Providing students with healthy and positive methods of relaxing and coping with stress is just another way that libraries can support learning and academic success and contribute to a campus culture that is supportive of wellness. Two branches of Memorial University Libraries in Newfoundland, the Queen Elizabeth II (QEII) and Grenfell Campus library, have undertaken initiatives to attempt to help decrease students’ anxiety levels during the particularly stressful end of semester, including extended-hours, yoga, pet therapy, games, fun “de-stressing stations”, and free hot beverages and snacks. Both branches surveyed students to obtain feedback on these initiatives and determine what impact students’ felt the initiatives had on their stress levels. These events also garnered positive exposure in both social and local media and provided a great promotional opportunity for the libraries. La santé mentale et le bien-être des étudiants est un problème crucial dont les établissements d’enseignement supérieur font face dans tout le Canada. La maladie mentale est prévue pour être la cause première de handicap aux universités canadiennes. Cet article discute les données récentes sur comment les maladies mentales telles que le stress, l’anxiété, et la dépression affectent le rendement scolaire. Un consensus se dégage parmi les administrateurs universitaires disant que la santé mentale des étudiants est une responsabilité de l’ensemble de l’université. Fournir aux étudiants les méthodes saines et positives de se détendre et de soulager le stress sont d’autres façons dont les bibliothèques peuvent soutenir à la réussite académique et contribuer à une culture universitaire qui soutien le bien-être. Deux filiales de la bibliothèque de l’Université Memorial en Terre Neuve, le Queen Elizabeth II (QEII) et la bibliothèque de Grenfell Campus, ont entrepris des initiatives, partiellement en partenariat avec le département des Services aux étudiants de l’université, afin d’aider à diminuer le niveau d’anxiété des étudiants pendant la fin du semestre qui est particulièrement stressante. Ces initiatives comprennent les horaires prolongés, le yoga et la méditation, la zoothérapie, les micro-pauses et des boissons chaudes et des casse-croûtes gratuits. Les deux filiales ont sondé les étudiants pour obtenir la réaction à ces initiatives et pour déterminer leur impact sur le niveau de stress selon eux. Ces événements ont recueilli une exposition positive dans les médias locaux et social et ont fourni aussi une grande opportunité de promotion pour les bibliothèques.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0130.003
Scholarly communication0.0080.003
Open science0.0030.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.104
GPT teacher head0.457
Teacher spread0.353 · 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 designQualitative
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

Citations25
Published2016
Admission routes3
Has abstractyes

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