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Record W4389088549 · doi:10.1080/23748834.2023.2282850

Neighbourhood influences on youth mental health and stress levels during the first six months of the COVID-19 pandemic

2023· article· en· W4389088549 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCities & Health · 2023
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsChildren’s Health Research InstituteLawson Health Research InstituteAthabasca UniversityWestern University
FundersCanadian Institutes of Health Research
KeywordsNeighbourhood (mathematics)Mental healthThrivingPandemicPublic healthRealmEthnic groupPsychologyGerontologyCoronavirus disease 2019 (COVID-19)Environmental healthGeographyMedicineSociologyPsychiatryDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

The impacts of the COVID-19 pandemic on youth mental health and stress levels warrants urgent attention. In Canada, as elsewhere in the world, public health measures in the early stages of the pandemic dramatically transformed the everyday geographies of young people. In the hyper-localisation of everyday life, surrounding neighbourhood features like parks and food-related stores may have provided the only outlets for physical activity, social interaction, and relaxation outside of the home. We examine how health-related behaviours, neighbourhood features, and demographic factors may relate to changes in youth mental health and stress levels during the first six months of the pandemic. A cross-sectional youth-informed online survey was conducted with youth, aged 13–19, in London, Ontario, Canada. Respondents were surveyed about their mental health and stress levels before and during the first six months of the COVID-19 pandemic. From 279 respondents, we identified how age, gender, ethnicity, dietary habits, physical activity levels, and availability of parks, fast food, convenience stores and grocery stores could correlate with mental health and stress levels. Given the role played by public spaces, our work underscores the importance of including youth perspectives in the planning of the public realm which contributes to healthy and thriving communities.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.114
GPT teacher head0.401
Teacher spread0.287 · 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