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Record W2150283968 · doi:10.1177/0044118x10386079

“Ageing Out”

2010· article· en· W2150283968 on OpenAlexafffundabout
Jean Shoveller, Cathy Chabot, Joy L. Johnson, Ken Prkachin

Bibliographic record

VenueYouth & Society · 2010
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Northern British ColumbiaUniversity of British Columbia
FundersUniversity of British ColumbiaDepartment for Children, Schools and FamiliesUniversité de MontréalUniversity of BathUniversity of Northern British Columbia
KeywordsPsychological interventionContext (archaeology)Public policyPsychologyGerontologyEconomic growthMedicineGeographyEconomics

Abstract

fetched live from OpenAlex

Despite a general decline, early-age motherhood continues to manifest disproportionately among young women living in rural/remote Canada. Although public health interventions exist to ameliorate the negative impacts, key determinants of young mothers’ well-being exist in sectors outside of health. Moreover, there is no clear understanding of how social context interacts with policy to enhance/detract from interventions. We undertook an ethnographic study in a northern Canadian city to investigate the impacts of sociocultural conditions and policy interventions on young mothers. “Ageing out” was identified as an important example of the intersection between social context and policy. “Ageing out” occurs when State-provided educational/income supports are removed because a young mother reaches the age of majority. Ageing out within unsupportive social contexts compounds negative consequences for young mothers, especially in relation to housing, parenting, and employment. The findings illustrate how some policy interventions have negative consequences that exacerbate health and social inequities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.206
GPT teacher head0.463
Teacher spread0.258 · 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; both teacher heads agree on what is shown here.

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

Citations8
Published2010
Admission routes3
Has abstractyes

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