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Record W6987637242

Tracking the Gendered Life Courses of Care Leavers in 19th-Century Britain

2018· article· en· W6987637242 on OpenAlexaboutno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsLife course approachQuarter (Canadian coin)Tracking (education)PrisonValue (mathematics)Social careLife chancesEconomic Justice
DOInot available

Abstract

fetched live from OpenAlex

The adult outcomes of children raised in care are a matter of much concern in Britain today. Care leavers account for a quarter of the adult prison population, a tenth of the young homeless population, and over two thirds of sex workers (Centre for Social Justice, 2015: 4). This article argues that, by contrast, the first generation of boys and girls passing through the early care system were more likely to have experienced a modest improvement in their life chances. It explores three key questions. First, what mechanisms shaped adult outcomes of care in the past? Second, did these vary by gender? Third, what might life course approaches to these issues gain from engaging both with historical- and gender-inflected analysis? The article draws on our wider analysis of the life courses and life chances of 400 adults who passed through the early youth justice and care systems as children in the northwest of England from the 1860s to the 1920s. These systems were closely interlinked. Within that, the article focuses on the experiences of a subgroup sent to a more care-oriented institution. It compares their collective outcomes with those of the wider group and within-group by gender. It offers a selection of case studies of women’s lives before and after care to highlight the value of, and challenges involved in, undertaking gender analysis in life course research of this kind.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.340
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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.

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
Published2018
Admission routes1
Has abstractyes

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