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Record W7133026111

Segregated in Life and in Death: A Black Woman's Critical Exploration and Narrative Account of Early African Descended Communities and Graveyards in New Brunswick

2021· dissertation· W7133026111 on OpenAlexaboutno aff
Mary Louise McCarthy

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldArts and Humanities
TopicOral History, Memory, Narrative Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeOppressionDecolonizationWhite (mutation)IndigenousAdventureEthnographyPower (physics)Oral historyNarrative history
DOInot available

Abstract

fetched live from OpenAlex

This almost ten-year journey of ancestral teachings has become my PhD dissertation. The exposure of the systemic abandonment and erasure of Black communities in New Brunswick, Canada, is the primary focus of this thesis. It centers on the segregation in life and in death of the early people of African descent in Fredericton and surrounding area of the province. I am a sixth generation descendent of those early African families; my fifth great-grandmother Sabina Grant (according to the Carleton Papers) arrived in Nova Scotia in 1783. I speak to the oppression my ancestors endured and, specifically, what happened to their bodies after death. The dissertation provides evidence to show how my ancestors’ bodies were placed in segregated graveyards that were later abandoned or destroyed and their communities erased from the historical record. I include personal poetry and photographs to help illustrate this erasure. This work is an academic, and a decolonization project. My dissertation is guided by my spiritual epistemology and is grounded in anti-colonial and critical race theories. I draw on historical research methodology and multiple methods of primary and secondary sources of data collection from archival, to academic publications, oral histories, and the exploration of six graveyards in Fredericton and the surrounding area of the province. The intent of this thesis is to decolonize the current narratives surrounding the history of my ancestors and to insert more accurate narratives about their lives and deaths, which I will pass on to my descendants and all people interested in New Brunswick Black History. I include recommendations for action by local government and communities to help preserve this historical record, and for schooling and higher education. I conclude the dissertation with a chapter about my community advocacy work, titled “Speaking Back”, which includes a discussion of my successful Human Rights case against racial profiling in an incident in a shop in Toronto in 2011. Keywords: Black History, Segregation, Death, Graveyards, Spirituality.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.094
GPT teacher head0.348
Teacher spread0.254 · 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
Published2021
Admission routes1
Has abstractyes

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