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Record W4404836990 · doi:10.15353/whr.v10.6150

The Exploitation of Black Labour as Experienced by the Black Loyalist

2024· article· en· W4404836990 on OpenAlexvenueaboutno aff
Nyatike Chuol

Bibliographic record

VenueWaterloo Historical Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsBlack femaleSociologyGender studies

Abstract

fetched live from OpenAlex

Examining the history of the Black Loyalists is essential to Black Canadian history. More significantly is examining the social inequality the Black Loyalists faced in the past. Much of the early history of the Black Loyalists is shaped by the institution of slavery. The institution of slavery is maintained by ideologies and traditions that justify another race’s enslavement. At the heart of these justifications is anti-black racism. Racism weaved throughout the fabric of white society and resulted from hundreds of years of imperialism, subjugation, and racist dogma. Black individuals had no legal safeguard for themselves nor any political power. This essay intends to argue that the Black Loyalists’ experience illustrates the racist attitudes held by white society. This paper will focus on the preconception that Black people’s value came from their usefulness in service to white people. The maintenance of anti-black racism will be examined through three generalizations. The different motivations and experiences between white and Black Loyalists, the overlap between freed and enslaved Black people living in Nova Scotia, and the continual exploitation of Black labour for white people’s sole benefit.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score0.598

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0040.004
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.318
Teacher spread0.286 · 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
Published2024
Admission routes2
Has abstractyes

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