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Record W1549595015

They Were But Children: The Immigration of British Home Children to Canada

2014· article· en· W1549595015 on OpenAlexaboutno aff
Susan Elizabeth Brazeau

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingShameImmigrationIntellectPoliticsPolitical scienceGender studiesSociologyHistoryCriminologyLawPsychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

This essay draws attention to a little-known era in Canadian history in the late nineteenth and early twentieth centuries in which nearly 100,000 British children came to this country as child labourers. Research indicates that there was political and social support in both countries, especially at the outset, for poor and/or homeless British children to be sent to live with and work for Canadian families. As a result, several benevolent societies and religious organizations developed and carried out child migration schemes, bringing children to Canada to be trained as domestic servants or farm labourers. Controversy, doubts and suspicions eventually grew around the organizations and also extended to the children, many of whom came to be looked upon as having criminal tendencies, low intellect, low moral standards, and/or being without feelings. Recent research carried out with some Home Children, as they were called, points out the devastating effects such views had on the children. Feelings of shame, unworthiness, and inferiority persisted throughout their childhoods and adult lives. Key Words: benevolent societies, British Poor Law, child labour, child migration to Canada, Home Children, Thomas Barnardo

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)0.003
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 score0.085
Threshold uncertainty score0.613

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0340.009
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.002
GPT teacher head0.169
Teacher spread0.166 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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