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Record W2969169214

Child labour in an industrial town : a study of child workers in Birmingham, 1750 to 1880

2019· dissertation· en· W2969169214 on OpenAlexaboutno aff
Mary Nejedly

Bibliographic record

VenueUniversity of Birmingham Institutional Research Archive (University of Birmingham) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsChild labourIndustrialisationApprenticeshipEarningsWork (physics)Economic growthPolitical scienceLabour economicsBusinessEngineeringEconomicsHistoryLaw
DOInot available

Abstract

fetched live from OpenAlex

There has been extensive historical research into child labour in industries such as textiles and coal mining, but there has been little focus on children employed in Birmingham industries such as pin making and button making. This thesis illuminates the extent and nature of child labour in Birmingham and the significant contribution made by child workers to industrialisation between 1750 and 1880. It draws attention to the importance of children’s earnings for family incomes and suggests that some families migrated to the town in search of paid employment for their children as well as adults. The attitudes of employers, Poor Law officials, parents and children towards early work are explored, finding that child workers were regarded as an integral part of the Birmingham economy.
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\nThis thesis provides a case study of child labour and child workers in an industrial town. It uses a wide range of primary sources to highlight the experiences of thousands of child workers who were not bound as apprentices to employers, but engaged on a daily or weekly basis. It challenges the view that the employment of children in manufacturing was a relatively short-lived phenomenon during the early stages of industrialisation, arguing that child workers were widely employed in Birmingham’s factories and workshops until the 1870s. It highlights the strategies adopted by labouring families to provide their children with access to basic schooling, and identifies the specific threats to children’s health from industrial employment. Finally, this thesis argues that nineteenth-century migration schemes which sent poor children to work on Canadian farms represented a global dimension in the history of child labour.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.002
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 head0.060
GPT teacher head0.319
Teacher spread0.259 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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