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Record W2793011653 · doi:10.1177/1403494817743900

Leisure-time youth centres as health-promoting settings: Experiences from multicultural neighbourhoods in Sweden

2018· article· en· W2793011653 on OpenAlexaboutno aff
Ingela Fredriksson, Susanna Geidne, Charli Eriksson

Bibliographic record

VenueScandinavian Journal of Public Health · 2018
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismImmigrationSociologyGerontologyGender studiesMedicineGeographyPedagogy

Abstract

fetched live from OpenAlex

AIMS: The aim of this paper is to advocate for the importance of meaningful leisure time for young people from a health-promotion perspective using experiences from two youth centres in multicultural neighbourhoods in Sweden. METHODS: In this practice-based study, data were collected between 2012 and 2014 at two youth centres in multicultural, socially deprived suburbs in Sweden using surveys with 12- to 16-year-old adolescents ( n = 207), seven individual interviews with staff and three cooperation partners in the neighbourhoods, and six group interviews with adolescents (50% girls). Quantitative, qualitative and mixed methods were used for analysis. RESULTS: As part of the youth centres' strategies, they are open and inclusive, foster supportive relationships, emphasise youth empowerment, and integrate family, school and community in their work. The youth centres are health-promoting settings with regard to four of the action areas in the Ottawa Charter: build healthy public policy, create supportive environments, strengthen community actions and develop personal skills. CONCLUSIONS: There is a need for a variety and a combination of various structured and unstructured leisure-time activities because young people's background and life situation plays a role for their participation in leisure-time activities. We conclude that youth centres are well placed to be or to become health-promoting settings if the activities takes place in a structured environment.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.095
GPT teacher head0.440
Teacher spread0.345 · 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

Citations35
Published2018
Admission routes1
Has abstractyes

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