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Record W4239935011 · doi:10.22215/etd/2014-10557

Slavery by a New Name: Children, Childhood and Forced Labour in Colonial Ghana, 1855-1914

2014· dissertation· en· W4239935011 on OpenAlexaff
Catherine Koonar

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsCarleton University
Fundersnot available
KeywordsChild labourNegotiationRacializationLegislationColonialismPolitical scienceNarrativeInstitutionGender studiesLabour lawPerspective (graphical)SociologyLawRace (biology)EngineeringWork (physics)

Abstract

fetched live from OpenAlex

The topic of child labour receives a great deal of attention from humanitarian and non-governmental organizations, but from a historical perspective, child labour has been under researched and under studied. Looking specifically at colonial Ghana, this study analyzes the effects of anti-slavery legislation and the presence of the Basel Mission Society on the lives of African children. It argues that as the institution of slavery went into decline in West Africa, the forced labour of children actually became more common. In its analysis of children and forced labour, this thesis will make clear that there is, in fact, a great deal of insight to be gained from including children in the narrative. In doing so, assumptions about key themes such as the racialization of labour, the gender division of labour, and the capacity of children to negotiate and shape the terms of their labour can be complicated.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.006
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.002
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 head0.004
GPT teacher head0.255
Teacher spread0.250 · 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 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
Published2014
Admission routes1
Has abstractyes

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