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Record W4391961660 · doi:10.51644/9781554583195

Fostering Nation?

2011· book· en· W4391961660 on OpenAlexaboutno aff
Veronica Strong‐Boag

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Fostering Nation? Canada Confronts Its History of Childhood Disadvantage explores the missteps and the promise of a century and more of child protection efforts by Canadians and their governments. It is the first volume to offer a comprehensive history of what life has meant for North America’s most disadvantaged Aboriginal and newcomer girls and boys. Gender, class, race, and (dis)ability are always important factors that bear on youngsters’ access to resources. State fostering initiatives occur as part of a broad continuum of arrangements, from social assistance for original families to kin care and institutions. Birth and foster parents of disadvantaged youngsters are rarely in full control. Children most distant from the mainstream ideals of their day suffer, and that suffering is likely to continue into their own experience of parenthood. That trajectory is never inevitable, however. Both resilience and resistance have shaped Canadians’ engagement with foster children in a society dominated by capitalist, colonial, and patriarchal power. Fostering Nation? breaks much new ground for those interested in social welfare, history, and the family. It offers the first comprehensive perspective on Canada’s provision for marginalized youngsters from the nineteenth to the twenty-first century. Its examination of kin care, institutions, state policies, birth parents, foster parents, and foster youngsters provides ample reminder that children’s welfare cannot be divorced from that of their parents and communities, and reinforces what it means when women bear disproportionate responsibility for caregiving.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score0.468

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.011
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.140
GPT teacher head0.224
Teacher spread0.084 · 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 designNot applicable
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

Citations12
Published2011
Admission routes1
Has abstractyes

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