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Record W3110376702 · doi:10.1111/hic3.12642

Reintegrating agency, regulation and the economy into histories of child emigration from North West England to Canada, 1860–1930

2020· article· en· W3110376702 on OpenAlexfundaboutno aff
Eloise Moss, Charlotte Wildman, Ruth Lamont

Bibliographic record

VenueHistory Compass · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersArts and Humanities Research CouncilUniversity of Ottawa
KeywordsEmigrationScholarshipAgency (philosophy)InstitutionWelfareConversationPolitical scienceHistorySociologyLawSocial science

Abstract

fetched live from OpenAlex

Abstract In this article we bring the records of Liverpool‐based child emigration agencies into conversation with the archives of ‘Home’ children held at Libraries and Archives Canada, the Archives of Ontario (Toronto) and the Catholic Archdiocese of Toronto Archives. Our aim is to provide the first study to consider why the North West emerged as the British centre of child emigration during the period 1860–1930, and examine the shared emigration infrastructure between its institutions and agents with those in Canada, through which we hope to advance comparative transnational research into child separation as a feature of welfare systems since the late‐nineteenth century. Our key claims are the following: (1) that children and their families DID challenge, resist and question the system, though not always expressed through their limited ability to give consent to emigration; (2) that the purported welfarist impulses of child emigration schemes were frequently in tension with the everyday administrative and financial concerns that characterised exchanges over child migrants between state and institution, bespeaking a broader economy of child emigration schemes that has thus far been under‐examined in the scholarship.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.919

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0220.024
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.179
Teacher spread0.169 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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