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Record W7002330802

Neighbourhood deprivation and self-esteem: is there equalisation in adolescence?

2010· dissertation· en· W7002330802 on OpenAlexaboutno aff

Bibliographic record

VenueUCL Discovery (University College London) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationCircumstantial evidenceContext (archaeology)Alcohol consumptionMultinomial logistic regression
DOInot available

Abstract

fetched live from OpenAlex

Background - Residents of more deprived and socially fragmented neighbourhoods are more likely to suffer from poor physical health and severe psychiatric morbidity than individuals living in more affluent and socially cohesive neighbourhoods. However, this pattern is less clear for more common psychological outcomes such as depression, anxiety and psychological traits such as self-esteem in early adolescence. In particular, the relationship between adolescent mental health and psychological traits may vary by national context. Two hypotheses broadly frame these variations: the deprivation amplification hypothesis and the socio-economic equalisation in youth hypothesis. Specifically, deprivation amplification is supported for adolescents in the U.S, while equalisation hypothesis appears to be supported outside that national context. Aims - The study aims to extend existing international research by addressing three research questions using data on adolescents aged 10-15 in the UK and Canada. 1. Is there support for socio-economic equalisation in early adolescent self-esteem in the UK and Canada across household socio-economic status and neighbourhood deprivation? 2. Is support for equalisation consistent across the socio-geographic levels of family, neighbourhood, region and nation? 3. Is there evidence for prospective associations between adolescent self-esteem and socio-geographic processes of neighbourhood context, composition, health selective migration and socio-geographic mobility in the UK and Canada? Methods - Two longitudinal datasets, the British Youth Panel (UK) and the National Longitudinal Survey of Children and Youth (Canada) were analysed using multilevel logistic regression and cluster-adjusted multinomial logistic regression models. Results – Contrary to prevailing deprivation amplification hypothesis, self-esteem was not inversely associated with neighbourhood deprivation and social fragmentation neighbourhoods in both countries either prior to, or after controlling for individual and family characteristics. In fact, living in the least deprived 20% of Canadian neighbourhoods was associated with lower self-esteem in boys. Other than this, neighbourhood composition accounted for all significant associations with self-esteem. However, low teenage self-esteem was associated with subsequent household socio-geographic mobility, an effect explained by family factors. In addition, moving to more socially fragmented neighbourhoods is associated with low self-esteem but moving to more materially deprived neighbourhoods is not, independently of individual and family variables. Discussion and conclusions – Results are discussed with reference to the implications for deprivation amplification and socio-economic equalisation in youth hypotheses. Contributions to health geography and limitations of the study are then addressed before policy implications are considered.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.258
Teacher spread0.246 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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