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Record W3023214321 · doi:10.1093/heapro/daz085

Implications of Canadian youth views for measuring youth mental health from a socio-economic perspective

2019· article· en· W3023214321 on OpenAlexafffundabout
Shari Laliberté, Colleen Varcoe

Bibliographic record

VenueHealth Promotion International · 2019
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of British ColumbiaVancouver Community College
FundersCanadian Institutes of Health ResearchUniversity of British Columbia
KeywordsMental healthMetropolitan areaContext (archaeology)PsychologyPerspective (graphical)PraxisSociologyPolitical scienceMedicineGeographyPsychiatry

Abstract

fetched live from OpenAlex

Developing meaningful indicators to track youth mental health (MH) is important to support the development and evaluation of responsive mental health promotion (MHP) initiatives that address the socio-economic determinants of youth MH. Development of relevant indicators is challenged, however, by the lack of knowledge regarding the relations among socio-economic factors and youth MH. Thirty diverse young people from a Canadian metropolitan area were engaged within a process of social praxis to explore their experiences of the inter-relationship between their socio-economic environments and their MH and their processes of seeking to realize their MH. Participants emphasized 'needs' as foundational to MH, whereas 'wants', driven by materialistic and wealth-oriented values and social norms, constrained their MH. Their reflections on the inter-relations among their MH and socio-economic processes highlight eight inter-related MH needs within the Canadian socio-economic context. In this paper, we present these needs and show how these needs, young people's affective states, and their access to resources within co-evolving socio-economic processes (to enable their needs) illustrate the fundamental inter-relation between young people's MH and socio-economic processes. We identify implications for measuring youth MH within MHP practice, including the importance of iterative indicator frameworks that include measures of young people's access to resources to enable their MH needs and their degree of distress.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.568
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.277
GPT teacher head0.460
Teacher spread0.183 · 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 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

Citations4
Published2019
Admission routes3
Has abstractyes

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