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Record W3036447398 · doi:10.3138/chr-2019-0050

White Archives, Black Fragments: Problems and Possibilities in Telling the Lives of Enslaved Black People in the Maritimes

2020· article· en· W3036447398 on OpenAlexvenueaboutno aff
Harvey Amani Whitfield

Bibliographic record

VenueCanadian Historical Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)ColonialismNarrativeHistoryGenealogyEthnologyArtArchaeologyLiterature

Abstract

fetched live from OpenAlex

Slavery is the most neglected aspect of pre-Confederation Canadian history. Yet traces and examples of slavery are imprinted in various documents throughout the Maritimes, Upper Canada, and Quebec. It is not surprising that slavery played a part in Canadian history, but it is startling that it has not received widespread attention from the general Canadian public and historians alike. Just five years ago, Ken Donovan noted that, although various artists, writers, directors, and historians have worked on slavery, it “is not a significant part of the Canadian historical narrative.” Studying slavery in Canada, as opposed to, say, escaped American slaves, “goes against the dominant image of Canada as a land of freedom.” The focus, understandably, when discussing African Canadian history has been on the Underground Railroad, the Black Loyalists, and other groups who found freedom under the British flag. Yet thousands of black people were enslaved in colonial Canada between the seventeenth and early nineteenth centuries (1605–1820). We must recognize the significance of slavery to the history of Canada even if there were no large-scale slave plantations or major staple products like cotton or tobacco. One way to recognize slavery is to examine biographical sketches of enslaved people in the Maritimes and other parts of Canada.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.255
Teacher spread0.225 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreReview

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

Citations5
Published2020
Admission routes2
Has abstractyes

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