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Record W4320857923 · doi:10.1007/s11524-022-00713-8

The Relationship between Youth Police Stops and Depression among Fathers

2023· article· en· W4320857923 on OpenAlexaboutno aff
Kristin Turney

Bibliographic record

VenueJournal of Urban Health · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsStressorPsychologyMental healthDepression (economics)Association (psychology)Quarter (Canadian coin)Criminal behaviorDevelopmental psychologyCriminologyClinical psychologyPsychiatryGeography

Abstract

fetched live from OpenAlex

Research shows youth police contact-a stressor experienced by more than one-quarter of urban-born youth by age 15-has deleterious mental health consequences for both youth and their mothers. Less is known about how youth's fathers respond to this police contact, despite differences in how men and women respond to stress and relate to their children. I use data from the Fragile Families and Child Wellbeing Study to investigate the association between youth police stops and depression among youth's fathers. Results show that fathers of youth stopped by the police, compared to fathers of youth not stopped by the police, are more likely to report depression, net of father and youth characteristics associated with selection into experiencing youth police stops. This association is concentrated among non-Black fathers and fathers of girls. The findings highlight how the repercussions of youth criminal legal contact extend to youth's fathers and, more broadly, suggest that future research incorporate the responses of men connected to those enduring criminal legal contact.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.160
GPT teacher head0.449
Teacher spread0.289 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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